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ORCIDMengjie Zhang 0001
Person information
- affiliation: Victoria University of Wellington, New Zealand
Other persons with the same name
- Mengjie Zhang — disambiguation page
- Mengjie Zhang 0002 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Mengjie Zhang 0003 — China Institute of Water Resources and Hydropower Research, Department of Water Resources (DWR), Beijing, China
- Mengjie Zhang 0004 — Fudan University, Department of Communication Science and Engineering, Shanghai, China
- Mengjie Zhang 0005 — Hebei University of Technology, School of Management, Tianjin, China
- Mengjie Zhang 0006 — Beijing University of Technology, International WIC Institute, China (and 2 more)
- Mengjie Zhang 0007 — Dalian University of Technology, School of Automotive Engineering, China
- Mengjie Zhang 0008 — Beihang University, School of Foreign Languages, Beijing, China
- Mengjie Zhang 0009 — EngineeringHubei University, College of Computer and Information Engineering, Wuhan, China
- Mengjie Zhang 0010 — China Agricultural University, College of Engineering, Beijing, China
- Mengjie Zhang 0011 — Columbia University, Department of Earth and Environmental Engineering, New York, NY, USA
- Mengjie Zhang 0012 — Chongqing University, Faculty of Architecture and Urban Planning, China
- Mengjie Zhang 0013
![[0000-0001-6337-346X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6337-346X")
— Tianjin University, School of Electrical and Information Engineering, China - Mengjie Zhang 0014 — Dareway Software Company Ltd., Jinan, China (and 1 more)
- Mengjie Zhang 0015 — Fudan University, Software School, Shanghai, China
- Mengjie Zhang 0016 — Beijing Academy of Agriculture and Forestry Sciences, China (and 1 more)
- Mengjie Zhang 0017 — Shanghai Jiao Tong University, Meta Robotics Institute, School of Mechanical Engineering, China
- Mengjie Zhang 0018 — Hohai University, Nanjing, China
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2020 – today
- 2025
[j295]Cheng Xie, Bing Xue, Mengjie Zhang, Songlin Chen, Yang Liu:
Evolving temporal convolutional neural networks for modeling turntable servo systems. Appl. Soft Comput. 172: 112800 (2025)- [j294]Mengjie Zhang:
2025 IEEE CIS Awards [Society Briefs]. IEEE Comput. Intell. Mag. 20(1): 9-12 (2025) - [j293]Botao Jiao, Heitor Murilo Gomes, Bing Xue, Yinan Guo, Mengjie Zhang:
A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift. IEEE Comput. Intell. Mag. 20(1): 18-33 (2025) - [j292]Bo-Cheng Lin, Yi Mei, Mengjie Zhang:
Automated design of state transition rules in ant colony optimization by genetic programming: a comprehensive investigation. Memetic Comput. 17(1): 2 (2025) - [j291]Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Semantics-guided multi-task genetic programming for multi-output regression. Pattern Recognit. 161: 111289 (2025) - [j290]Shihui Liu, Bing Xue, Meiping Song, Haimo Bao, Mengjie Zhang:
Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 2813-2828 (2025) - [j289]Fangfang Zhang, Gaofeng Shi, Yi Mei, Mengjie Zhang:
Multiobjective Dynamic Flexible Job Shop Scheduling With Biased Objectives via Multitask Genetic Programming. IEEE Trans. Artif. Intell. 6(1): 169-183 (2025) - [j288]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation. IEEE Trans. Evol. Comput. 29(1): 46-60 (2025) - [j287]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Toward Evolving Dispatching Rules With Flow Control Operations by Grammar-Guided Linear Genetic Programming. IEEE Trans. Evol. Comput. 29(1): 217-231 (2025) - [j286]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 1019-1033 (2025) - 2024
- [j285]Harith Al-Sahaf, Pablo Mesejo, Ying Bi, Mengjie Zhang:
Evolutionary deep learning for computer vision and image processing. Appl. Soft Comput. 151: 111159 (2024) - [j284]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. 19(1): 36-50 (2024) - [j283]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison. IEEE Comput. Intell. Mag. 19(2): 18-33 (2024) - [j282]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Comput. Intell. Mag. 19(3): 26-41 (2024) - [j281]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues. ACM Comput. Surv. 56(2): 41:1-41:34 (2024) - [j280]Junhong Zhao, Bing Xue, Mengjie Zhang:
SGformer: Boosting transformers for indoor lighting estimation from a single image. Comput. Vis. Media 10(4): 671-686 (2024) - [j279]Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Tri-Objective Method for Bi-Objective Feature Selection in Classification. Evol. Comput. 32(3): 217-248 (2024) - [j278]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A geometric semantic macro-crossover operator for evolutionary feature construction in regression. Genet. Program. Evolvable Mach. 25(1): 2 (2024) - [j277]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Bridging directed acyclic graphs to linear representations in linear genetic programming: a case study of dynamic scheduling. Genet. Program. Evolvable Mach. 25(1): 5 (2024) - [j276]Gonglin Yuan, Bing Xue, Mengjie Zhang:
An evolutionary neural architecture search method based on performance prediction and weight inheritance. Inf. Sci. 667: 120466 (2024) - [j275]Yifan Yang, Aaron Chen, Hui Ma, Sven Hartmann, Mengjie Zhang:
Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling. Inf. Sci. 678: 120975 (2024) - [j274]Huishan Qu, Gai-Ge Wang, Yun Li, Xin Qi, Mengjie Zhang:
ConvFishNet: An efficient backbone for fish classification from composited underwater images. Inf. Sci. 679: 121078 (2024) - [j273]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A genetic programming-based method for image classification with small training data. Knowl. Based Syst. 283: 111188 (2024) - [j272]Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue:
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. Memetic Comput. 16(3): 445-466 (2024) - [j271]Emrah Hancer, Bing Xue, Mengjie Zhang:
A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification. IEEE Trans. Artif. Intell. 5(9): 4428-4442 (2024) - [j270]Fei Ming, Bing Xue, Mengjie Zhang, Wenyin Gong, Huixiang Zhen:
Constrained Multiobjective Optimization via Relaxations on Both Constraints and Objectives. IEEE Trans. Artif. Intell. 5(12): 6709-6722 (2024) - [j269]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming for Document Classification: A Transductive Transfer Learning System. IEEE Trans. Cybern. 54(2): 1119-1132 (2024) - [j268]Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54(3): 1828-1840 (2024) - [j267]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data. IEEE Trans. Cybern. 54(7): 4014-4027 (2024) - [j266]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. 28(1): 2-16 (2024) - [j265]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(1): 147-167 (2024) - [j264]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. IEEE Trans. Evol. Comput. 28(2): 307-322 (2024) - [j263]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang:
A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? IEEE Trans. Evol. Comput. 28(2): 353-373 (2024) - [j262]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Guest Editorial Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 566-569 (2024) - [j261]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification. IEEE Trans. Evol. Comput. 28(3): 718-732 (2024) - [j260]Haitong Zhao, Changsheng Zhang, Bing Xue, Mengjie Zhang, Bin Zhang:
A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation. IEEE Trans. Evol. Comput. 28(3): 810-824 (2024) - [j259]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Solving Multiobjective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling. IEEE Trans. Evol. Comput. 28(4): 846-860 (2024) - [j258]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification. IEEE Trans. Evol. Comput. 28(4): 903-917 (2024) - [j257]Shaolin Wang, Yi Mei, Mengjie Zhang:
Explaining Genetic Programming-Evolved Routing Policies for Uncertain Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 28(4): 918-932 (2024) - [j256]Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28(4): 1156-1176 (2024) - [j255]Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. IEEE Trans. Evol. Comput. 28(5): 1190-1204 (2024) - [j254]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming With Lexicase Selection for Large-Scale Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(5): 1235-1249 (2024) - [j253]Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(5): 1286-1300 (2024) - [j252]Ying Bi, Jing J. Liang, Bing Xue, Mengjie Zhang:
A Genetic Programming Approach With Building Block Evolving and Reusing to Image Classification. IEEE Trans. Evol. Comput. 28(5): 1366-1380 (2024) - [j251]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Modular Multitree Genetic Programming for Evolutionary Feature Construction for Regression. IEEE Trans. Evol. Comput. 28(5): 1455-1469 (2024) - [j250]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
SR-Forest: A Genetic Programming-Based Heterogeneous Ensemble Learning Method. IEEE Trans. Evol. Comput. 28(5): 1484-1498 (2024) - [j249]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multitask Linear Genetic Programming With Shared Individuals and Its Application to Dynamic Job Shop Scheduling. IEEE Trans. Evol. Comput. 28(6): 1546-1560 (2024) - [j248]Rui Zhang, Yanan Sun, Mengjie Zhang:
GPU-Based Genetic Programming for Faster Feature Extraction in Binary Image Classification. IEEE Trans. Evol. Comput. 28(6): 1590-1604 (2024) - [j247]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression. IEEE Trans. Evol. Comput. 28(6): 1689-1703 (2024) - [j246]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Flexible Job Shop Scheduling: Evolution With Single Individuals and Ensembles. IEEE Trans. Evol. Comput. 28(6): 1761-1775 (2024) - [j245]Zhenshou Song, Handing Wang, Bing Xue, Mengjie Zhang:
Balancing Different Optimization Difficulty Between Objectives in Multiobjective Feature Selection. IEEE Trans. Evol. Comput. 28(6): 1824-1837 (2024) - [j244]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Evolutionary Multitasking for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. 28(6): 1852-1866 (2024) - [j243]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Feature Selection Based on Feature Removal Impact in High-Dimensional Symbolic Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2269-2282 (2024) - [j242]Hang Xu, Bing Xue, Mengjie Zhang:
A Bi-Search Evolutionary Algorithm for High-Dimensional Bi-Objective Feature Selection. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3489-3502 (2024) - [j241]Jing J. Liang, Zexuan Yang, Ying Bi, Boyang Qu, Mengnan Liu, Bing Xue, Mengjie Zhang:
A Multitree Genetic Programming-Based Feature Construction Approach to Crop Classification Using Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j240]Shihui Liu, Meiping Song, Bing Xue, Chein-I Chang, Mengjie Zhang:
Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j239]Junhong Zhao, Bing Xue, Mengjie Zhang:
SALENet: Structure-Aware Lighting Estimations From a Single Image for Indoor Environments. IEEE Trans. Image Process. 33: 6806-6820 (2024) - [j238]Cuie Yang, Bing Xue, Kay Chen Tan, Mengjie Zhang:
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6863-6877 (2024) - [j237]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13523-13537 (2024) - [j236]Zai-Xing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, Mengjie Zhang:
Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds. IEEE Trans. Serv. Comput. 17(5): 2687-2703 (2024) - [c641]Mohamad Rimas, Qi Chen, Mengjie Zhang:
Importance-Based Pruning for Genetic Programming Based Symbolic Regression. AI (2) 2024: 188-201 - [c640]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images. CEC 2024: 1-8 - [c639]Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC 2024: 1-8 - [c638]Matthew Harper, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
Evaluating Machine Learning Techniques for Predicting Salinity. CEC 2024: 1-8 - [c637]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Label Selection for Multi-label Classification. CEC 2024: 1-8 - [c636]Junwei Pang, Yi Mei, Mengjie Zhang:
Multi-Objective Genetic-Programming Hyper-Heuristic for Evolving Interpretable Flexible Job Shop Scheduling Rules. CEC 2024: 1-8 - [c635]Mohamad Rimas, Mohamad Anfar, Qi Chen, Mengjie Zhang:
Feature Selection for GPSR Based on Maximal Information Coefficient and Shapley Values. CEC 2024: 1-8 - [c634]Shanshan Tang, Qi Chen, Bing Xue, Min Huang, Mengjie Zhang:
Genetic Programming with Multi-Task Feature Selection for Alzheimer's Disease Diagnosis. CEC 2024: 1-8 - [c633]Yuan Tian, Yi Mei, Mengjie Zhang:
Learning Heuristics via Genetic Programming for Multi-Mode Resource-Constrained Project Scheduling. CEC 2024: 1-8 - [c632]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming. CEC 2024: 1-8 - [c631]Jizhong Xu, Qi Chen, Bing Xue, Mengjie Zhang:
A New Concordance Correlation Coefficient based Fitness Function for Genetic Programming for Symbolic Regression. CEC 2024: 1-8 - [c630]Luyao Zhu, Fangfang Zhang, Mengyuan Feng, Ke Chen, Xiaodong Zhu, Mengjie Zhang:
Crossover Operators Between Multiple Scheduling Heuristics with Genetic Programming for Dynamic Flexible Job Shop Scheduling. CEC 2024: 1-8 - [c629]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Improving Generalization of Evolutionary Feature Construction with Minimal Complexity Knee Points in Regression. EuroGP 2024: 142-158 - [c628]Qinyu Wang, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming with Aggregate Channel Features for Flower Localization Using Limited Training Data. EvoApplications@EvoStar 2024: 196-211 - [c627]Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang:
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach. EvoApplications@EvoStar 2024: 413-429 - [c626]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. GECCO 2024 - [c625]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion 2024: 271-274 - [c624]Xiao-Cheng Liao, Yi Mei, Mengjie Zhang:
Learning Traffic Signal Control via Genetic Programming. GECCO 2024 - [c623]Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang:
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. GECCO 2024 - [c622]Jiahong Wei, Bing Xue, Mengjie Zhang:
EZUAS: Evolutionary Zero-shot U-shape Architecture Search for Medical Image Segmentation. GECCO 2024 - [c621]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Bias-Variance Decomposition: An Effective Tool to Improve Generalization of Genetic Programming-based Evolutionary Feature Construction for Regression. GECCO 2024 - [c620]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Semantic-based Hoist Mutation Operator for Evolutionary Feature Construction in Regression [Hot off the Press]. GECCO Companion 2024: 65-66 - [c619]Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task Genetic Programming with Semantic based Crossover for Multi-output Regression. GECCO Companion 2024: 543-546 - [c618]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Preliminary Counterfactual Explanation Method for Genetic Programming-Evolved Rules: A Case Study on Uncertain Capacitated Arc Routing Problem. GECCO Companion 2024: 547-550 - [c617]Tuo Zhang, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang:
Decomposition-based Multi-objective Genetic Programming for Feature Learning in Image Classification. GECCO Companion 2024: 555-558 - [c616]Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2024: 1158-1186 - [c615]Zai-Xing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Qian, Mengjie Zhang:
Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics. ICIC (1) 2024: 169-182 - [c614]Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning. ICSOC (2) 2024: 3-18 - [c613]Qinglan Fan, Ying Bi, Bing Xue, Jane Symonds, Lauren M. Fletcher, Mengjie Zhang:
Automatic Quantification of King Salmon Farm Net Occlusion Via Biofouling Detection. IVCNZ 2024: 1-6 - [c612]Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang:
Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach. IVCNZ 2024: 1-6 - [c611]Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Deep Learning-Based Depth Map Generation and YOLO-Integrated Distance Estimation for Radiata Pine Branch Detection Using Drone Stereo Vision. IVCNZ 2024: 1-6 - [c610]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring. IVCNZ 2024: 1-6 - [c609]Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang, Osama Rehman, Aisha Ajmal, Simon Jigwan Park:
Top-Down Target Object Detection Through Context. IVCNZ 2024: 1-6 - [c608]Jiaxuan Wang, Ruigeng Wang, Gaël Gendron, Shahrokh Heidari, David Arturo Soriano Valdez, Gibrán Alfonso Zazueta Cruz, Stephen Hallett, Mitchell Rogers, Alexander Woodward, Alfonso Gastelum Strozzi, Riki Mitchel, Mengjie Zhang, Michael Witbrock, Patrice Delmas:
Causal Behaviour Modelling for Player Action Prediction in Rugby League Using Graph Neural Networks. IVCNZ 2024: 1-6 - [c607]Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images. IVCNZ 2024: 1-6 - [c606]Saining Liu, João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
GPGLS: Genetic Programming Guided Local Search for Large-Scale Vehicle Routing Problems. PPSN (1) 2024: 36-51 - [c605]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
P-Mixup: Improving Generalization Performance of Evolutionary Feature Construction with Pessimistic Vicinal Risk Minimization. PPSN (1) 2024: 201-220 - [c604]Ruiqi Chen, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Neural Network Surrogate Based on Binary Classification for Assisting Genetic Programming in Searching Scheduling Heuristic. PRICAI (1) 2024: 309-321 - [i58]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Consistent Lebesgue Measure for Multi-label Learning. CoRR abs/2402.00324 (2024) - [i57]Su Nguyen, Dhananjay R. Thiruvady, Yuan Sun, Mengjie Zhang:
Genetic-based Constraint Programming for Resource Constrained Job Scheduling. CoRR abs/2402.00459 (2024) - [i56]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. CoRR abs/2403.00865 (2024) - [i55]Xiao-Cheng Liao, Yi Mei, Mengjie Zhang:
Learning Traffic Signal Control via Genetic Programming. CoRR abs/2403.17328 (2024) - [i54]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regression. CoRR abs/2405.06869 (2024) - [i53]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang, Wolfgang Banzhaf:
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations. CoRR abs/2405.14268 (2024) - [i52]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Meta-Learning Neural Procedural Biases. CoRR abs/2406.07983 (2024) - [i51]Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Integrating SGBM and Segmentation Models. CoRR abs/2409.17526 (2024) - [i50]Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning. CoRR abs/2409.18444 (2024) - [i49]Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis. CoRR abs/2409.19688 (2024) - [i48]Yida Lin, Bing Xue, Mengjie Zhang, Sam Schofield, Richard Green:
Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration. CoRR abs/2410.00503 (2024) - [i47]Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-Ming Cheung, Shuyin Xia:
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning. CoRR abs/2412.10461 (2024) - 2023
- [j235]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 62-63 (2023) - [j234]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution. Inf. Sci. 626: 586-606 (2023) - [j233]An-Da Li, Bing Xue, Mengjie Zhang:
Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes. Inf. Sci. 641: 119062 (2023) - [j232]Emrah Hancer, Bing Xue, Mengjie Zhang:
An evolutionary filter approach to feature selection in classification for both single- and multi-objective scenarios. Knowl. Based Syst. 280: 111008 (2023) - [j231]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13699-13714 (2023) - [j230]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Feature clustering-Assisted feature selection with differential evolution. Pattern Recognit. 140: 109523 (2023) - [j229]Hua Yu, Xuanzhe Fan, Yaqing Hou, Wenbin Pei, Hongwei Ge, Xin Yang, Dongsheng Zhou, Qiang Zhang, Mengjie Zhang:
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5707-5720 (2023) - [j228]Ying Bi, Bing Xue, Mengjie Zhang:
Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification. IEEE Trans. Cybern. 53(2): 1118-1132 (2023) - [j227]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Two-Stage Swarm Optimizer With Local Search for Water Distribution Network Optimization. IEEE Trans. Cybern. 53(3): 1667-1681 (2023) - [j226]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Trans. Cybern. 53(5): 2727-2740 (2023) - [j225]Ying Bi, Bing Xue, Mengjie Zhang:
Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification. IEEE Trans. Cybern. 53(5): 3007-3020 (2023) - [j224]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Learning Heuristics With Different Representations for Stochastic Routing. IEEE Trans. Cybern. 53(5): 3205-3219 (2023) - [j223]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 53(7): 4473-4486 (2023) - [j222]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Multiobjective Differential Evolution for Feature Selection in Classification. IEEE Trans. Cybern. 53(7): 4579-4593 (2023) - [j221]Ruwang Jiao, Bing Xue, Mengjie Zhang:
A Multiform Optimization Framework for Constrained Multiobjective Optimization. IEEE Trans. Cybern. 53(8): 5165-5177 (2023) - [j220]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Differential Evolution With Duplication Analysis for Feature Selection in Classification. IEEE Trans. Cybern. 53(10): 6676-6689 (2023) - [j219]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. IEEE Trans. Cybern. 53(12): 7773-7786 (2023) - [j218]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. IEEE Trans. Evol. Comput. 27(1): 5-25 (2023) - [j217]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach. IEEE Trans. Evol. Comput. 27(2): 296-310 (2023) - [j216]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang, Xin Yao:
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(2): 311-325 (2023) - [j215]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse. IEEE Trans. Evol. Comput. 27(3): 460-474 (2023) - [j214]Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengjie Zhang:
Explainable Artificial Intelligence by Genetic Programming: A Survey. IEEE Trans. Evol. Comput. 27(3): 621-641 (2023) - [j213]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean Problems. IEEE Trans. Evol. Comput. 27(4): 1057-1071 (2023) - [j212]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming. IEEE Trans. Evol. Comput. 27(4): 1130-1144 (2023) - [j211]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Instance-Rotation-Based Surrogate in Genetic Programming With Brood Recombination for Dynamic Job-Shop Scheduling. IEEE Trans. Evol. Comput. 27(5): 1192-1206 (2023) - [j210]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen:
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27(5): 1298-1312 (2023) - [j209]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Algorithm With α Dominance and Archive for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 27(6): 1633-1647 (2023) - [j208]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Task Relatedness-Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 27(6): 1705-1719 (2023) - [j207]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan:
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34(2): 550-570 (2023) - [j206]Siyi Li, Yanan Sun, Gary G. Yen, Mengjie Zhang:
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3832-3846 (2023) - [j205]Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan, Bing Xue, Mengjie Zhang:
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7621-7634 (2023) - [j204]Meng Xu, Yi Mei, Shiqiang Zhu, Beibei Zhang, Tian Xiang, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Dynamic Workflow Scheduling in Fog Computing. IEEE Trans. Serv. Comput. 16(4): 2657-2671 (2023) - [c603]Mitchell Rogers, Igor Debski, Johannes Fischer, Peter McComb, Peter Frost, Bing Xue, Mengjie Zhang, Patrice Delmas:
Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging. ACIVS 2023: 287-298 - [c602]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling. AI (2) 2023: 403-415 - [c601]Mohamad Rimas, Qi Chen, Mengjie Zhang:
Bloating Reduction in Symbolic Regression Through Function Frequency-Based Tree Substitution in Genetic Programming. AI (2) 2023: 429-440 - [c600]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. AI (2) 2023: 466-478 - [c599]Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang:
Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. AusDM 2023: 163-176 - [c598]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming. AusDM 2023: 254-269 - [c597]Hengzhe Zhang, Qi Chen, Alberto Tonda, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning. EuroGP 2023: 84-100 - [c596]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar 2023: 623-639 - [c595]Hengzhe Zhang, Aimin Zhou, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press]. GECCO Companion 2023: 49-50 - [c594]Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Terminal Settings on Multitask Multi-objective Dynamic Flexible Job Shop Scheduling with Genetic Programming. GECCO Companion 2023: 259-262 - [c593]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning to Select Initialisation Heuristic for Vehicle Routing Problems. GECCO 2023: 266-274 - [c592]Luyao Zhu, Fangfang Zhang, Xiaodong Zhu, Ke Chen, Mengjie Zhang:
Sample-Aware Surrogate-Assisted Genetic Programming for Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. GECCO 2023: 384-392 - [c591]Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling. GECCO 2023: 420-428 - [c590]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Multi-Objective Genetic Programming based on Decomposition on Evolving Scheduling Heuristics for Dynamic Scheduling. GECCO Companion 2023: 427-430 - [c589]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO 2023: 438-446 - [c588]Gonglin Yuan, Bing Xue, Mengjie Zhang:
An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO 2023: 615-623 - [c587]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion 2023: 655-658 - [c586]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. GECCO Companion 2023: 707-710 - [c585]Bing Xue, Mengjie Zhang:
Evolutionary Computation for Feature Selection and Feature Construction. GECCO Companion 2023: 1129-1156 - [c584]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling. GECCO 2023: 1137-1145 - [c583]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local-Search for Genetic Programming Based Loss Function Learning. GECCO 2023: 1184-1193 - [c582]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
A Double Lexicase Selection Operator for Bloat Control in Evolutionary Feature Construction for Regression. GECCO 2023: 1194-1202 - [c581]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang, Jessica Signal:
Learning Emergency Medical Dispatch Policies Via Genetic Programming. GECCO 2023: 1409-1417 - [c580]Mengjie Zhang, Stefano Cagnoni:
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion 2023: 1533-1561 - [c579]David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. INNS DLIA@IJCNN 2023: 636-645 - [c578]David Knox, Bing Xue, Mengjie Zhang, Jeromy Cuff:
Measuring Ground Cover in Long Term Hill Country Photography using Weakly Supervised Convolutional Neural Networks. IVCNZ 2023: 1-6 - [c577]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. IVCNZ 2023: 1-6 - [c576]Hamish O'Keeffe, Bing Xue, Mengjie Zhang, Nicola Hawes, Cris Lovell-Smith:
Real-Time Instance Segmentation Techniques using Neural Networks for the Assessment of Green-Lipped Mussels. IVCNZ 2023: 1-6 - [c575]Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler:
An Improved Mask R-CNN for Instance Segmentation of Tree Crowns in Aerial Imagery. IVCNZ 2023: 1-6 - [c574]Dylon Zeng, Ying Bi, Ivy Liu, Bing Xue, Ross Vennell, Mengjie Zhang:
A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images. IVCNZ 2023: 1-6 - [c573]Junhong Zhao, Carl McMillan, Bing Xue, Ross Vennell, Mengjie Zhang:
Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming. IVCNZ 2023: 1-6 - [c572]Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary. IVCNZ 2023: 1-6 - [c571]Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang:
Automatically Choosing Selection Operator Based on Semantic Information in Evolutionary Feature Construction. PRICAI (2) 2023: 385-397 - [c570]Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach. SSCI 2023: 959-964 - [i46]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Online Loss Function Learning. CoRR abs/2301.13247 (2023) - [i45]Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv:
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR abs/2304.08915 (2023) - [i44]Carl McMillan, Junhong Zhao, Bing Xue, Ross Vennell, Mengjie Zhang:
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation. CoRR abs/2308.09238 (2023) - 2022
- [j203]Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15(10): 347 (2022) - [j202]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming for feature extraction and construction in image classification. Appl. Soft Comput. 118: 108509 (2022) - [j201]Feng Chen, Jiangshu Wei, Bing Xue, Mengjie Zhang:
Feature fusion and kernel selective in Inception-v4 network. Appl. Soft Comput. 119: 108582 (2022) - [j200]Muhammad Ali, Yifan Chen, Michael J. Cree, Mengjie Zhang:
In vivo computation with sensor fusion and search acceleration for smart tumor homing. Comput. Biol. Medicine 148: 105887 (2022) - [j199]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection. Evol. Comput. 30(1): 99-129 (2022) - [j198]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming for automatic skin cancer image classification. Expert Syst. Appl. 197: 116680 (2022) - [j197]Leonardo Trujillo, Ting Hu, Nuno Lourenço, Mengjie Zhang:
Editorial Introduction. Genet. Program. Evolvable Mach. 23(3): 305-307 (2022) - [j196]Ying Bi, Bing Xue, Mengjie Zhang:
Using a small number of training instances in genetic programming for face image classification. Inf. Sci. 593: 488-504 (2022) - [j195]Emrah Hancer, Bing Xue, Mengjie Zhang:
Fuzzy filter cost-sensitive feature selection with differential evolution. Knowl. Based Syst. 241: 108259 (2022) - [j194]Caiyun Wen, Miao Lu, Ying Bi, Shengnan Zhang, Bing Xue, Mengjie Zhang, Qingbo Zhou, Wenbin Wu:
An Object-Based Genetic Programming Approach for Cropland Field Extraction. Remote. Sens. 14(5): 1275 (2022) - [j193]Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu:
Genetic Programming for High-Level Feature Learning in Crop Classification. Remote. Sens. 14(16): 3982 (2022) - [j192]Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3(4): 526-540 (2022) - [j191]Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang:
A Cooperative Coevolution Genetic Programming Hyper-Heuristics Approach for On-Line Resource Allocation in Container-Based Clouds. IEEE Trans. Cloud Comput. 10(3): 1500-1514 (2022) - [j190]Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Instance Transfer Learning in Symbolic Regression. IEEE Trans. Cybern. 52(1): 25-38 (2022) - [j189]Qi Chen, Bing Xue, Mengjie Zhang:
Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression. IEEE Trans. Cybern. 52(4): 2382-2395 (2022) - [j188]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Contribution-Based Cooperative Co-Evolution for Nonseparable Large-Scale Problems With Overlapping Subcomponents. IEEE Trans. Cybern. 52(6): 4246-4259 (2022) - [j187]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification. IEEE Trans. Cybern. 52(7): 7172-7186 (2022) - [j186]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Cybern. 52(8): 8142-8156 (2022) - [j185]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification. IEEE Trans. Cybern. 52(8): 8272-8285 (2022) - [j184]Su Nguyen, Dhananjay R. Thiruvady, Mengjie Zhang, Damminda Alahakoon:
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. IEEE Trans. Cybern. 52(9): 8603-8616 (2022) - [j183]Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, Mengjie Zhang:
Multitask Genetic Programming-Based Generative Hyperheuristics: A Case Study in Dynamic Scheduling. IEEE Trans. Cybern. 52(10): 10515-10528 (2022) - [j182]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem. IEEE Trans. Cybern. 52(10): 10855-10868 (2022) - [j181]Shaolin Wang, Yi Mei, Mengjie Zhang, Xin Yao:
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(1): 73-87 (2022) - [j180]Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26(2): 202-205 (2022) - [j179]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. IEEE Trans. Evol. Comput. 26(2): 218-232 (2022) - [j178]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(3): 446-460 (2022) - [j177]Ying Bi, Bing Xue, Mengjie Zhang:
Dual-Tree Genetic Programming for Few-Shot Image Classification. IEEE Trans. Evol. Comput. 26(3): 555-569 (2022) - [j176]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. IEEE Trans. Evol. Comput. 26(4): 661-675 (2022) - [j175]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 26(4): 765-779 (2022) - [j174]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization. IEEE Trans. Evol. Comput. 26(5): 872-885 (2022) - [j173]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(5): 1015-1029 (2022) - [j172]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Routing Problem With Comparison of Different Encoding Schemes. IEEE Trans. Evol. Comput. 26(6): 1394-1408 (2022) - [j171]Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26(6): 1473-1485 (2022) - [j170]Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3727-3740 (2022) - [c569]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI 2022: 116-130 - [c568]Ruwang Jiao, Bing Xue, Mengjie Zhang:
Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification. AI 2022: 237-251 - [c567]Peng Wang, Bing Xue, Jing J. Liang, Mengjie Zhang:
Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers. AI 2022: 279-293 - [c566]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming. AI 2022: 294-307 - [c565]Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI 2022: 516-529 - [c564]Jordan MacLachlan, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming for Vehicle Subset Selection in Ambulance Dispatching. CEC 2022: 1-8 - [c563]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC 2022: 1-8 - [c562]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c561]Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c560]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Learning Strategies on Scheduling Heuristics of Genetic Programming in Dynamic Flexible Job Shop Scheduling. CEC 2022: 1-8 - [c559]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression. EuroGP 2022: 51-67 - [c558]Zhixing Huang, Fangfang Zhang, Yi Mei, Mengjie Zhang:
An Investigation of Multitask Linear Genetic Programming for Dynamic Job Shop Scheduling. EuroGP 2022: 162-178 - [c557]Sai Panda, Yi Mei, Mengjie Zhang:
Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling. EvoCOP 2022: 95-110 - [c556]Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Keith C. Gordon, Mengjie Zhang:
A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment. EvoApplications 2022: 283-298 - [c555]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Guided local search with an adaptive neighbourhood size heuristic for large scale vehicle routing problems. GECCO 2022: 213-221 - [c554]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion 2022: 232-235 - [c553]Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion 2022: 264-267 - [c552]Shaolin Wang, Yi Mei, Mengjie Zhang:
Local ranking explanation for genetic programming evolved routing policies for uncertain capacitated Arc routing problems. GECCO 2022: 314-322 - [c551]Meng Xu, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Genetic programming with diverse partner selection for dynamic flexible job shop scheduling. GECCO Companion 2022: 615-618 - [c550]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
Graph-based linear genetic programming: a case study of dynamic scheduling. GECCO 2022: 955-963 - [c549]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2022: 1200-1229 - [c548]Marko Durasevic, Domagoj Jakobovic, Yi Mei, Su Nguyen, Mengjie Zhang:
Introduction to automated design of scheduling heuristics with genetic programming. GECCO Companion 2022: 1506-1526 - [c547]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2022: 1602-1630 - [c546]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. ICDM (Workshops) 2022: 378-387 - [c545]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang:
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. ICSOC 2022: 433-448 - [c544]Wenlong Fu, Bing Xue, Mengjie Zhang, Jan Schindler:
Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation. IVCNZ 2022: 188-201 - [c543]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Importance-Aware Genetic Programming for Automated Scheduling Heuristics Learning in Dynamic Flexible Job Shop Scheduling. PPSN (2) 2022: 48-62 - [c542]Zhixing Huang, Yi Mei, Fangfang Zhang, Mengjie Zhang:
A Further Investigation to Improve Linear Genetic Programming in Dynamic Job Shop Scheduling. SSCI 2022: 496-503 - [c541]Binke Xu, Ying Bi, Bing Xue, Jan Schindler, Brent Martin, Mengjie Zhang:
Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation. SSCI 2022: 626-633 - [c540]Michael Stanley, Andrew Lensen, Mengjie Zhang:
Using Neural Networks to Automate Monitoring of Fish Stocks. SSCI 2022: 634-641 - [c539]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation. SSCI 2022: 642-648 - [c538]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Phenotype Based Surrogate-Assisted Multi-objective Genetic Programming with Brood Recombination for Dynamic Flexible Job Shop Scheduling. SSCI 2022: 1218-1225 - [i43]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA based Feature Selection and Context Integration. CoRR abs/2204.06189 (2022) - [i42]Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR abs/2207.00987 (2022) - [i41]Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. CoRR abs/2208.10658 (2022) - [i40]Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang:
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends. CoRR abs/2209.06399 (2022) - [i39]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning. CoRR abs/2209.08907 (2022) - [i38]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification. CoRR abs/2209.13233 (2022) - [i37]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations. CoRR abs/2211.15143 (2022) - [i36]Bin Wang, Bing Xue, Mengjie Zhang:
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. CoRR abs/2212.03942 (2022) - 2021
- [b1]Fangfang Zhang, Su Nguyen, Yi Mei, Mengjie Zhang:
Genetic Programming for Production Scheduling - An Evolutionary Learning Approach, 3. Springer 2021, ISBN 978-981-16-4858-8, pp. 3-321 - [j169]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification. Appl. Soft Comput. 101: 106989 (2021) - [j168]Ying Bi, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for feature learning in face recognition. Appl. Soft Comput. 103: 107152 (2021) - [j167]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features. Appl. Soft Comput. 103: 107172 (2021) - [j166]An-Da Li, Bing Xue, Mengjie Zhang:
Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies. Appl. Soft Comput. 106: 107302 (2021) - [j165]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier]. IEEE Comput. Intell. Mag. 16(1): 84-98 (2021) - [j164]Yanan Sun, Mengjie Zhang, Gary G. Yen:
Evolutionary Neural Architecture Search and Applications [Guest Editorial]. IEEE Comput. Intell. Mag. 16(3): 8-9 (2021) - [j163]Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang, Shuting Wan:
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]. IEEE Comput. Intell. Mag. 16(3): 79-94 (2021) - [j162]Binzi Xu, Yi Mei, Yan Wang, Zhicheng Ji, Mengjie Zhang:
Genetic Programming with Delayed Routing for Multiobjective Dynamic Flexible Job Shop Scheduling. Evol. Comput. 29(1): 75-105 (2021) - [j161]Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mengjie Zhang:
Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. Evol. Comput. 29(3): 331-366 (2021) - [j160]Shima Afzali Vahed Moghaddam, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
An automatic feature construction method for salient object detection: A genetic programming approach. Expert Syst. Appl. 186: 115726 (2021) - [j159]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Output-based transfer learning in genetic programming for document classification. Knowl. Based Syst. 212: 106597 (2021) - [j158]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data. Soft Comput. 25(8): 5993-6012 (2021) - [j157]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. IEEE Trans. Cybern. 51(2): 589-603 (2021) - [j156]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Trans. Cybern. 51(3): 1403-1416 (2021) - [j155]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification. IEEE Trans. Cybern. 51(4): 1769-1783 (2021) - [j154]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling. IEEE Trans. Cybern. 51(4): 1797-1811 (2021) - [j153]Bo Peng, Shuting Wan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis. IEEE Trans. Cybern. 51(10): 4909-4923 (2021) - [j152]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization. IEEE Trans. Cybern. 51(11): 5468-5482 (2021) - [j151]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Trans. Cybern. 51(12): 6319-6332 (2021) - [j150]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification. IEEE Trans. Evol. Comput. 25(1): 87-101 (2021) - [j149]Hang Xu, Bing Xue, Mengjie Zhang:
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection. IEEE Trans. Evol. Comput. 25(2): 205-218 (2021) - [j148]Qi Chen, Bing Xue, Mengjie Zhang:
Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression. IEEE Trans. Evol. Comput. 25(3): 433-447 (2021) - [j147]Su Nguyen, Dhananjay Raghavan Thiruvady, Mengjie Zhang, Kay Chen Tan:
A Genetic Programming Approach for Evolving Variable Selectors in Constraint Programming. IEEE Trans. Evol. Comput. 25(3): 492-507 (2021) - [j146]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Correlation Coefficient-Based Recombinative Guidance for Genetic Programming Hyperheuristics in Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 25(3): 552-566 (2021) - [j145]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling. IEEE Trans. Evol. Comput. 25(4): 651-665 (2021) - [j144]Xiangru Chen, Yanan Sun, Mengjie Zhang, Dezhong Peng:
Evolving Deep Convolutional Variational Autoencoders for Image Classification. IEEE Trans. Evol. Comput. 25(5): 815-829 (2021) - [j143]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data. IEEE Trans. Evol. Comput. 25(6): 1049-1063 (2021) - [j142]Damien O'Neill, Bing Xue, Mengjie Zhang:
Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks. IEEE Trans. Evol. Comput. 25(6): 1118-1132 (2021) - [j141]Ying Bi, Bing Xue, Mengjie Zhang:
A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification. IEEE Trans. Evol. Comput. 25(6): 1148-1162 (2021) - [j140]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 554-569 (2021) - [j139]Boxiong Tan, Hui Ma, Yi Mei, Mengjie Zhang:
Evolutionary Multi-Objective Optimization for Web Service Location Allocation Problem. IEEE Trans. Serv. Comput. 14(2): 458-471 (2021) - [c537]Demelza Robinson, Qi Chen, Bing Xue, Daniel Killeen, Sara Fraser-Miller, Keith C. Gordon, Indrawati Oey, Mengjie Zhang:
Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products. CEC 2021: 272-279 - [c536]Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang:
Deep Learning Model with GA-based Visual Feature Selection and Context Integration. CEC 2021: 288-295 - [c535]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CEC 2021: 296-303 - [c534]Yunhan Yang, Bing Xue, Linley Jesson, Mengjie Zhang:
Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction. CEC 2021: 588-595 - [c533]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data. CEC 2021: 604-611 - [c532]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming with Diverse Transfer for the Uncertain Capacitated Arc Routing Problem. CEC 2021: 628-635 - [c531]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Approach with Self-Adaptive α Dominance to Uncertain Capacitated Arc Routing Problem. CEC 2021: 636-643 - [c530]Atiya Masood, Gang Chen, Mengjie Zhang:
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. CEC 2021: 644-651 - [c529]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. CEC 2021: 760-767 - [c528]An-Da Li, Bing Xue, Mengjie Zhang:
A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification. CEC 2021: 786-793 - [c527]Arka Ghosh, Bing Xue, Mengjie Zhang:
Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems. CEC 2021: 794-801 - [c526]Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang:
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. CEC 2021: 934-941 - [c525]Demelza Robinson, Qi Chen, Bing Xue, Isabella Wagner, Michael Price, Paul Hume, Kai Chen, Justin Hodgkiss, Mengjie Zhang:
Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data. CEC 2021: 1735-1742 - [c524]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning Initialisation Heuristic for Large Scale Vehicle Routing Problem with Genetic Programming. CEC 2021: 1864-1871 - [c523]Zichu Yan, Ying Bi, Bing Xue, Mengjie Zhang:
Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification. CEC 2021: 2015-2022 - [c522]Peng Wang, Bing Xue, Mengjie Zhang, Jing J. Liang:
A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification. CEC 2021: 2053-2060 - [c521]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
An Evolutionary Hyper-Heuristic Approach to the Large Scale Vehicle Routing Problem. CEC 2021: 2109-2116 - [c520]Meng Xu, Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Archive for Dynamic Flexible Job Shop Scheduling. CEC 2021: 2117-2124 - [c519]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang:
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. CEC 2021: 2141-2148 - [c518]Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang:
Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification. EvoApplications 2021: 489-505 - [c517]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Sparsity-based evolutionary multi-objective feature selection for multi-label classification. GECCO Companion 2021: 147-148 - [c516]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation. GECCO Companion 2021: 165-166 - [c515]Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang:
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification. GECCO Companion 2021: 173-174 - [c514]Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang:
Genetic programming with a new representation and a new mutation operator for image classification. GECCO Companion 2021: 249-250 - [c513]Shaolin Wang, Yi Mei, Mengjie Zhang:
Two-stage multi-objective genetic programming with archive for uncertain capacitated arc routing problem. GECCO 2021: 287-295 - [c512]Bin Wang, Bing Xue, Mengjie Zhang:
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks. GECCO Companion 2021: 287-288 - [c511]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for borderline instance detection in high-dimensional unbalanced classification. GECCO 2021: 349-357 - [c510]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A novel multi-task genetic programming approach to uncertain capacitated Arc routing problem. GECCO 2021: 759-767 - [c509]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2021: 1141-1168 - [c508]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2021: 1169-1198 - [c507]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. ICDM (Workshops) 2021: 823-832 - [c506]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. ICDM (Workshops) 2021: 833-842 - [c505]Caleb Buchanan, Ying Bi, Bing Xue, Ross Vennell, Simon Childerhouse, Matthew K. Pine, Dana Briscoe, Mengjie Zhang:
Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks. IVCNZ 2021: 1-6 - [c504]Yunhan Yang, Bing Xue, Linley Jesson, Matthew Wylie, Mengjie Zhang, Maren Wellenreuther:
Deep Convolutional Neural Networks for Fish Weight Prediction from Images. IVCNZ 2021: 1-6 - [c503]Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. PRICAI (1) 2021: 469-484 - [c502]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Learning Penalisation Criterion of Guided Local Search for Large Scale Vehicle Routing Problem. SSCI 2021: 1-8 - [c501]Fergus Currie, Yi Mei, Mengjie Zhang, Maren Wellenreuther, Linley Jesson:
An Investigation on Multi-Objective Fish Breeding Program Design. SSCI 2021: 1-8 - [c500]Zhixing Huang, Yi Mei, Mengjie Zhang:
Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling. SSCI 2021: 1-8 - [c499]Alistair John McLeay, Abigail McGhie, Dana Briscoe, Ying Bi, Bing Xue, Ross Vennell, Mengjie Zhang:
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms. SSCI 2021: 1-8 - [c498]Shaolin Wang, Yi Mei, Mengjie Zhang:
An Improved Multi-Objective Genetic Programming Hyper-Heuristic with Archive for Uncertain Capacitated Arc Routing Problem. SSCI 2021: 1-8 - [p5]Yi Mei, Mazhar Ansari Ardeh, Mengjie Zhang:
Knowledge Transfer in Genetic Programming Hyper-heuristics. Automated Design of Machine Learning and Search Algorithms 2021: 149-169 - [i35]Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang:
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. CoRR abs/2108.03856 (2021) - [i34]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Manifold Learning: Preserving Local Topology. CoRR abs/2108.09914 (2021) - 2020
- [j138]Emrah Hancer, Bing Xue, Mengjie Zhang:
A survey on feature selection approaches for clustering. Artif. Intell. Rev. 53(6): 4519-4545 (2020) - [j137]Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, Mengjie Zhang:
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Appl. Soft Comput. 97(Part B): 106675 (2020) - [j136]Mengjie Zhang, Kay Chen Tan:
Conference Report on 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019) [Conference Reports]. IEEE Comput. Intell. Mag. 15(1): 4-5 (2020) - [j135]Ying Bi, Bing Xue, Mengjie Zhang:
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]. IEEE Comput. Intell. Mag. 15(2): 65-77 (2020) - [j134]Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang:
A Predictive-Reactive Approach with Genetic Programming and Cooperative Coevolution for the Uncertain Capacitated Arc Routing Problem. Evol. Comput. 28(2): 289-316 (2020) - [j133]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. Evol. Comput. 28(4): 531-561 (2020) - [j132]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evol. Comput. 28(4): 563-593 (2020) - [j131]Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-objective genetic programming for manifold learning: balancing quality and dimensionality. Genet. Program. Evolvable Mach. 21(3): 399-431 (2020) - [j130]Sam Fletcher, Brijesh K. Verma, Mengjie Zhang:
A non-specialized ensemble classifier using multi-objective optimization. Neurocomputing 409: 93-102 (2020) - [j129]An-Da Li, Bing Xue, Mengjie Zhang:
Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection. Inf. Sci. 523: 245-265 (2020) - [j128]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks. Knowl. Based Syst. 194: 105568 (2020) - [j127]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism. Soft Comput. 24(23): 18021-18038 (2020) - [j126]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. 54: 100663 (2020) - [j125]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv:
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. IEEE Trans. Cybern. 50(9): 3840-3854 (2020) - [j124]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. 24(1): 170-184 (2020) - [j123]Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24(2): 350-364 (2020) - [j122]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Evolving Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 24(2): 394-407 (2020) - [j121]Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu:
Multiobjective Multitasking Optimization Based on Incremental Learning. IEEE Trans. Evol. Comput. 24(5): 824-838 (2020) - [j120]Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Survey of Evolutionary Computation for Web Service Composition: A Technical Perspective. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 538-554 (2020) - [j119]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Completely Automated CNN Architecture Design Based on Blocks. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1242-1254 (2020) - [c497]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Parametric Framework for Genetic Programming with Transfer Learning for Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2020: 150-162 - [c496]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2020: 163-175 - [c495]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data. CEC 2020: 1-8 - [c494]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data. CEC 2020: 1-8 - [c493]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Probabilistic Prototype Tree Knowledge Transfer for Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c492]Ying Bi, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Feature Learning for Facial Expression Classification. CEC 2020: 1-8 - [c491]Ke Chen, Bing Xue, Mengjie Zhang, Fengyu Zhou:
Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification. CEC 2020: 1-8 - [c490]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Cluster-based Hyper-Heuristic for Large-Scale Vehicle Routing Problem. CEC 2020: 1-8 - [c489]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. CEC 2020: 1-8 - [c488]Benjamin P. Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CEC 2020: 1-8 - [c487]Qinglan Fan, Bing Xue, Mengjie Zhang:
A Region Adaptive Image Classification Approach Using Genetic Programming. CEC 2020: 1-8 - [c486]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. CEC 2020: 1-8 - [c485]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification. CEC 2020: 1-8 - [c484]Shaolin Wang, Yi Mei, Mengjie Zhang:
A Multi-Objective Genetic Programming Hyper-Heuristic Approach to Uncertain Capacitated Arc Routing Problems. CEC 2020: 1-8 - [c483]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CEC 2020: 1-8 - [c482]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data. EuroGP 2020: 1-17 - [c481]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling. EuroGP 2020: 262-278 - [c480]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling. EvoCOP 2020: 214-230 - [c479]Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang:
A preliminary approach to evolutionary multitasking for dynamic flexible job shop scheduling via genetic programming. GECCO Companion 2020: 107-108 - [c478]Hayden Andersen, Xiaoying Gao, Bing Xue, Mengjie Zhang:
Evolving network structures for text classification using genetic algorithms. GECCO Companion 2020: 109-110 - [c477]Ying Bi, Bing Xue, Mengjie Zhang:
Automatically extracting features for face classification using multi-objective genetic programming. GECCO Companion 2020: 117-118 - [c476]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification. GECCO Companion 2020: 149-150 - [c475]Benjamin P. Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. GECCO 2020: 324-332 - [c474]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Relatedness measures to aid the transfer of building blocks among multiple tasks. GECCO 2020: 377-385 - [c473]Damien O'Neill, Bing Xue, Mengjie Zhang:
Neural architecture search for sparse DenseNets with dynamic compression. GECCO 2020: 386-394 - [c472]Hang Xu, Bing Xue, Mengjie Zhang:
Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection. GECCO 2020: 444-452 - [c471]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data. GECCO 2020: 913-921 - [c470]Qi Chen, Bing Xue, Mengjie Zhang:
Improving symbolic regression based on correlation between residuals and variables. GECCO 2020: 922-930 - [c469]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Adaptive weighted splines: a new representation to genetic programming for symbolic regression. GECCO 2020: 1003-1011 - [c468]Ya-Hui Jia, Yi Mei, Mengjie Zhang:
A memetic level-based learning swarm optimizer for large-scale water distribution network optimization. GECCO 2020: 1107-1115 - [c467]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A genetic programming approach to feature construction for ensemble learning in skin cancer detection. GECCO 2020: 1186-1194 - [c466]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO Companion 2020: 1283-1312 - [c465]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO Companion 2020: 1343-1372 - [c464]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. IJCNN 2020: 1-8 - [c463]Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN 2020: 1-8 - [c462]Gonglin Yuan, Bing Xue, Mengjie Zhang:
A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. IVCNZ 2020: 1-6 - [c461]Ying Bi, Bing Xue, Mengjie Zhang:
Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming. PPSN (1) 2020: 3-18 - [c460]Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. SSCI 2020: 616-623 - [c459]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data. SSCI 2020: 905-912 - [c458]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Data Imputation for Symbolic Regression with Missing Values: A Comparative Study. SSCI 2020: 2093-2100 - [c457]Shaolin Wang, Yi Mei, Mengjie Zhang:
Towards Interpretable Routing Policy: A Two Stage Multi-Objective Genetic Programming Approach with Feature Selection for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2399-2406 - [c456]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Diversity-driven Knowledge Transfer for GPHH to Solve Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2407-2414 - [c455]João Guilherme Cavalcanti Costa, Yi Mei, Mengjie Zhang:
Adaptive Search Space through Evolutionary Hyper-Heuristics for the Large-Scale Vehicle Routing Problem. SSCI 2020: 2415-2422 - [c454]Abigail McGhie, Bing Xue, Mengjie Zhang:
GPCNN: Evolving Convolutional Neural Networks using Genetic Programming. SSCI 2020: 2684-2691 - [c453]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A GPHH with Surrogate-assisted Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. SSCI 2020: 2786-2793 - [p4]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches. Deep Neural Evolution 2020: 155-184 - [i33]Andrew Lensen, Mengjie Zhang, Bing Xue:
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality. CoRR abs/2001.01331 (2020) - [i32]Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
Improving generalisation of AutoML systems with dynamic fitness evaluations. CoRR abs/2001.08842 (2020) - [i31]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation. CoRR abs/2001.09578 (2020) - [i30]Benjamin Patrick Evans, Bing Xue, Mengjie Zhang:
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML. CoRR abs/2001.10178 (2020) - [i29]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Constructing Complexity-efficient Features in XCS with Tree-based Rule Conditions. CoRR abs/2004.10978 (2020) - [i28]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. CoRR abs/2005.03947 (2020) - [i27]Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. CoRR abs/2006.01415 (2020) - [i26]Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification. CoRR abs/2007.01556 (2020) - [i25]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. CoRR abs/2008.06634 (2020) - [i24]Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Survey on Evolutionary Neural Architecture Search. CoRR abs/2008.10937 (2020) - [i23]Ying Bi, Bing Xue, Mengjie Zhang:
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning. CoRR abs/2012.09444 (2020)
2010 – 2019
- 2019
- [j118]Su Nguyen, Yi Mei, Bing Xue, Mengjie Zhang:
A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evol. Comput. 27(3): 467-496 (2019) - [j117]Saeed Mirghasemi, Peter Andreae, Mengjie Zhang:
Domain-independent severely noisy image segmentation via adaptive wavelet shrinkage using particle swarm optimization and fuzzy C-means. Expert Syst. Appl. 133: 126-150 (2019) - [j116]Roberto Santana, Luis Martí, Mengjie Zhang:
GP-based methods for domain adaptation: using brain decoding across subjects as a test-case. Genet. Program. Evolvable Mach. 20(3): 385-411 (2019) - [j115]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Figure-ground image segmentation using feature-based multi-objective genetic programming techniques. Neural Comput. Appl. 31(7): 3075-3094 (2019) - [j114]Binh Tran, Bing Xue, Mengjie Zhang:
Genetic programming for multiple-feature construction on high-dimensional classification. Pattern Recognit. 93: 404-417 (2019) - [j113]Wenlong Fu, Mengjie Zhang, Mark Johnston:
Bayesian genetic programming for edge detection. Soft Comput. 23(12): 4097-4112 (2019) - [j112]Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic programming with transfer learning for texture image classification. Soft Comput. 23(23): 12859-12871 (2019) - [j111]Binh Tran, Bing Xue, Mengjie Zhang:
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. IEEE Trans. Evol. Comput. 23(3): 473-487 (2019) - [j110]Qi Chen, Bing Xue, Mengjie Zhang:
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. 23(3): 488-502 (2019) - [j109]Qi Chen, Mengjie Zhang, Bing Xue:
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. 23(4): 703-717 (2019) - [j108]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(5): 748-761 (2019) - [j107]Yu Xue, Bing Xue, Mengjie Zhang:
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification. ACM Trans. Knowl. Discov. Data 13(5): 50:1-50:27 (2019) - [j106]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2295-2309 (2019) - [c452]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry. ACPR (2) 2019: 449-463 - [c451]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data. ACPR (2) 2019: 566-579 - [c450]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data. Australasian Conference on Artificial Intelligence 2019: 523-535 - [c449]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2019: 536-548 - [c448]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? CEC 2019: 41-48 - [c447]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. CEC 2019: 49-56 - [c446]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC 2019: 434-441 - [c445]William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang:
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. CEC 2019: 546-553 - [c444]Thomas Watts, Bing Xue, Mengjie Zhang:
Blocky Net: A New NeuroEvolution Method. CEC 2019: 586-593 - [c443]Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang:
Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation. CEC 2019: 866-872 - [c442]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. CEC 2019: 880-887 - [c441]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. CEC 2019: 1366-1373 - [c440]Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. CEC 2019: 2260-2267 - [c439]Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. CEC 2019: 2544-2551 - [c438]Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. CEC 2019: 2657-2664 - [c437]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. CEC 2019: 2779-2786 - [c436]Qi Chen, Bing Xue, Mengjie Zhang:
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. CEC 2019: 3006-3013 - [c435]Ying Bi, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. CEC 2019: 3197-3204 - [c434]Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. CEC 2019: 3244-3251 - [c433]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. CEC 2019: 3308-3315 - [c432]Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? EuroGP 2019: 114-130 - [c431]Fangfang Zhang, Yi Mei, Mengjie Zhang:
A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling. EvoCOP 2019: 33-49 - [c430]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm. EvoApplications 2019: 72-89 - [c429]Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. EvoApplications 2019: 308-324 - [c428]Qi Chen, Bing Xue, Mengjie Zhang:
Differential evolution for instance based transfer learning in genetic programming for symbolic regression. GECCO (Companion) 2019: 161-162 - [c427]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification. GECCO (Companion) 2019: 187-188 - [c426]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic with knowledge transfer for uncertain capacitated arc routing problem. GECCO (Companion) 2019: 334-335 - [c425]Fangfang Zhang, Yi Mei, Mengjie Zhang:
A two-stage genetic programming hyper-heuristic approach with feature selection for dynamic flexible job shop scheduling. GECCO 2019: 347-355 - [c424]Brandon Muller, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Transfer learning: a building block selection mechanism in genetic programming for symbolic regression. GECCO (Companion) 2019: 350-351 - [c423]Ying Bi, Bing Xue, Mengjie Zhang:
An automated ensemble learning framework using genetic programming for image classification. GECCO 2019: 365-373 - [c422]Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Improvement of code fragment fitness to guide feature construction in XCS. GECCO 2019: 428-436 - [c421]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae:
Population-based ensemble classifier induction for domain adaptation. GECCO 2019: 437-445 - [c420]Binh Tran, Bing Xue, Mengjie Zhang:
Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification. GECCO 2019: 481-489 - [c419]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving deep neural networks by multi-objective particle swarm optimization for image classification. GECCO 2019: 490-498 - [c418]Benjamin P. Evans, Bing Xue, Mengjie Zhang:
What's inside the black-box?: a genetic programming method for interpreting complex machine learning models. GECCO 2019: 1012-1020 - [c417]Shaolin Wang, Yi Mei, Mengjie Zhang:
Novel ensemble genetic programming hyper-heuristics for uncertain capacitated arc routing problem. GECCO 2019: 1093-1101 - [c416]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO (Companion) 2019: 1226-1251 - [c415]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. IVCNZ 2019: 1-6 - [c414]Damien O'Neill, Bing Xue, Mengjie Zhang:
The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets. IVCNZ 2019: 1-6 - [c413]Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
A Novel Genetic Programming Algorithm with Knowledge Transfer for Uncertain Capacitated Arc Routing Problem. PRICAI (1) 2019: 196-200 - [c412]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches. PRICAI (3) 2019: 474-487 - [c411]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. PRICAI (3) 2019: 650-663 - [c410]Deepak Karunakaran, Yi Mei, Mengjie Zhang:
Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows. SSCI 2019: 1598-1605 - [c409]Shaolin Wang, Yi Mei, John Park, Mengjie Zhang:
A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem. SSCI 2019: 1606-1613 - [c408]Shaolin Wang, Yi Mei, John Park, Mengjie Zhang:
Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem. SSCI 2019: 1628-1635 - [c407]Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang:
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification. SSCI 2019: 1770-1777 - [c406]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data. SSCI 2019: 2395-2402 - [i22]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm. CoRR abs/1902.00845 (2019) - [i21]Andrew Lensen, Bing Xue, Mengjie Zhang:
Can Genetic Programming Do Manifold Learning Too? CoRR abs/1902.02949 (2019) - [i20]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. CoRR abs/1903.03893 (2019) - [i19]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification. CoRR abs/1904.09035 (2019) - [i18]Bin Wang, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks. CoRR abs/1907.12659 (2019) - [i17]Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng:
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches. CoRR abs/1908.08010 (2019) - [i16]Benjamin Patrick Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification. CoRR abs/1909.13030 (2019) - [i15]Andrew Lensen, Bing Xue, Mengjie Zhang:
Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis. CoRR abs/1910.10264 (2019) - [i14]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. CoRR abs/1911.08650 (2019) - 2018
- [j105]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput. 63: 72-86 (2018) - [j104]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
Improving performance of classification on incomplete data using feature selection and clustering. Appl. Soft Comput. 73: 848-861 (2018) - [j103]Wenlong Fu, Bing Xue, Mengjie Zhang, Mark Johnston:
Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]. IEEE Comput. Intell. Mag. 13(4): 46-58 (2018) - [j102]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 77-94 (2018) - [j101]Su Nguyen, Yi Mei, Mengjie Zhang:
Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. Genet. Program. Evolvable Mach. 19(1-2): 5-7 (2018) - [j100]Alexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang:
Evolutionary computation for automatic Web service composition: an indirect representation approach. J. Heuristics 24(3): 425-456 (2018) - [j99]Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
Pareto front feature selection based on artificial bee colony optimization. Inf. Sci. 422: 462-479 (2018) - [j98]Emrah Hancer, Bing Xue, Mengjie Zhang:
Differential evolution for filter feature selection based on information theory and feature ranking. Knowl. Based Syst. 140: 103-119 (2018) - [j97]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue, Lam Thu Bui:
An effective and efficient approach to classification with incomplete data. Knowl. Based Syst. 154: 1-16 (2018) - [j96]Binh Tran, Bing Xue, Mengjie Zhang:
A New Representation in PSO for Discretization-Based Feature Selection. IEEE Trans. Cybern. 48(6): 1733-1746 (2018) - [j95]Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang:
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(5): 762-777 (2018) - [j94]Hui Cheng, Xin Yao, Shengxiang Yang, Mengjie Zhang:
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 1-2 (2018) - [j93]Ibrahim M. H. Rahman, Christopher Hollitt, Mengjie Zhang:
Feature Map Quality Score Estimation Through Regression. IEEE Trans. Image Process. 27(4): 1793-1808 (2018) - [c405]Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features. Australasian Conference on Artificial Intelligence 2018: 111-123 - [c404]Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. Australasian Conference on Artificial Intelligence 2018: 209-215 - [c403]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. Australasian Conference on Artificial Intelligence 2018: 237-250 - [c402]Ying Bi, Bing Xue, Mengjie Zhang:
A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification. Australasian Conference on Artificial Intelligence 2018: 251-257 - [c401]Baligh Al-Helali, Qi Chen, Bing Xue, Mengjie Zhang:
A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values. Australasian Conference on Artificial Intelligence 2018: 345-357 - [c400]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Australasian Conference on Artificial Intelligence 2018: 358-370 - [c399]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2018: 432-444 - [c398]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2018: 472-484 - [c397]Cao Truong Tran, Mengjie Zhang, Bing Xue, Peter Andreae:
Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data. Australasian Conference on Artificial Intelligence 2018: 577-589 - [c396]Damien O'Neill, Bing Xue, Mengjie Zhang:
Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study. Australasian Conference on Artificial Intelligence 2018: 616-629 - [c395]Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data. Australasian Conference on Artificial Intelligence 2018: 643-655 - [c394]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Australasian Conference on Artificial Intelligence 2018: 739-751 - [c393]Fangfang Zhang, Yi Mei, Mengjie Zhang:
Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2018: 766-772 - [c392]Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification. CEC 2018: 1-8 - [c391]Ying Bi, Mengjie Zhang, Bing Xue:
Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification. CEC 2018: 1-8 - [c390]Xiu Cheng, Will N. Browne, Mengjie Zhang:
Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning. CEC 2018: 1-8 - [c389]Benjamin P. Evans, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. CEC 2018: 1-6 - [c388]Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristic for Stochastic Team Orienteering Problem with Time Windows. CEC 2018: 1-8 - [c387]Damien O'Neill, Andrew Lensen, Bing Xue, Mengjie Zhang:
Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering. CEC 2018: 1-8 - [c386]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. CEC 2018: 1-8 - [c385]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. CEC 2018: 1-8 - [c384]Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-tree Genetic Programming. EuroGP 2018: 84-100 - [c383]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP 2018: 253-270 - [c382]Daniel Yska, Yi Mei, Mengjie Zhang:
Genetic Programming Hyper-Heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. EuroGP 2018: 306-321 - [c381]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. EvoCOP 2018: 116-131 - [c380]Ying Bi, Bing Xue, Mengjie Zhang:
An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming. EvoApplications 2018: 421-438 - [c379]Yi Mei, Mengjie Zhang:
Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. GECCO (Companion) 2018: 141-142 - [c378]Daniel Yska, Yi Mei, Mengjie Zhang:
Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. GECCO (Companion) 2018: 149-150 - [c377]Andrew Lensen, Bing Xue, Mengjie Zhang:
Automatically evolving difficult benchmark feature selection datasets with genetic programming. GECCO 2018: 458-465 - [c376]Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang:
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO 2018: 490-497 - [c375]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Adaptive charting genetic programming for dynamic flexible job shop scheduling. GECCO 2018: 1159-1166 - [c374]Bing Xue, Mengjie Zhang:
Evolutionary computation for feature selection and feature construction. GECCO (Companion) 2018: 1198-1220 - [c373]Mengjie Zhang, Stefano Cagnoni:
Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition. GECCO (Companion) 2018: 1221-1257 - [c372]Alexandre Sawczuk da Silva, Hui Ma, Yi Mei, Mengjie Zhang:
A Hybrid Memetic Approach for Fully Automated Multi-Objective Web Service Composition. ICWS 2018: 26-33 - [c371]Gang Chen, Yiming Peng, Mengjie Zhang:
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN 2018: 1-8 - [c370]Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang:
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm. IJCNN 2018: 1-8 - [c369]Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, Mengjie Zhang:
Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection. IVCNZ 2018: 1-9 - [c368]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. PPSN (2) 2018: 347-359 - [c367]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c366]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. PRICAI (1) 2018: 732-745 - [e5]Mauro Castelli, Lukás Sekanina, Mengjie Zhang, Stefano Cagnoni, Pablo García-Sánchez:
Genetic Programming - 21st European Conference, EuroGP 2018, Parma, Italy, April 4-6, 2018, Proceedings. Lecture Notes in Computer Science 10781, Springer 2018, ISBN 978-3-319-77552-4 [contents] - [i13]Andrew Lensen, Bing Xue, Mengjie Zhang:
Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming. CoRR abs/1802.00554 (2018) - [i12]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification. CoRR abs/1803.06492 (2018) - [i11]Gang Chen, Yiming Peng, Mengjie Zhang:
An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR abs/1804.06461 (2018) - [i10]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. CoRR abs/1808.03818 (2018) - [i9]Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang:
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. CoRR abs/1808.06661 (2018) - [i8]Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR abs/1809.00403 (2018) - [i7]Yanan Sun, Bing Xue, Mengjie Zhang:
Automatically Evolving CNN Architectures Based on Blocks. CoRR abs/1810.11875 (2018) - 2017
- [j92]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Genetic programming for evolving figure-ground segmentors from multiple features. Appl. Soft Comput. 51: 83-95 (2017) - [j91]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Image feature selection using genetic programming for figure-ground segmentation. Eng. Appl. Artif. Intell. 62: 96-108 (2017) - [j90]Muhammad Iqbal, Will N. Browne, Mengjie Zhang:
Extending XCS with Cyclic Graphs for Scalability on Complex Boolean Problems. Evol. Comput. 25(2): 173-204 (2017) - [j89]Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn, Mengjie Zhang:
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1414-1430 (2017) - [j88]Su Nguyen, Mengjie Zhang, Kay Chen Tan:
Surrogate-Assisted Genetic Programming With Simplified Models for Automated Design of Dispatching Rules. IEEE Trans. Cybern. 47(9): 2951-2965 (2017) - [j87]Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, Mengjie Zhang:
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Trans. Evol. Comput. 21(1): 83-101 (2017) - [j86]Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Trans. Evol. Comput. 21(4): 569-587 (2017) - [j85]Qi Chen, Mengjie Zhang, Bing Xue:
Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression. IEEE Trans. Evol. Comput. 21(5): 792-806 (2017) - [j84]Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, Mark Johnston:
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors. IEEE Trans. Evol. Comput. 21(6): 825-844 (2017) - [j83]Wenjian Luo, Emma Hart, Mengjie Zhang:
Guest Editorial: Special Issue on Emergent Topics in Artificial Immune Systems. IEEE Trans. Emerg. Top. Comput. Intell. 1(4): 235 (2017) - [j82]Yi Mei, Su Nguyen, Bing Xue, Mengjie Zhang:
An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Trans. Emerg. Top. Comput. Intell. 1(5): 339-353 (2017) - [c365]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Wrapper Feature Construction for Figure-Ground Image Segmentation Using Genetic Programming. ACALCI 2017: 111-123 - [c364]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. ACALCI 2017: 301-313 - [c363]Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang:
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. ACALCI 2017: 326-338 - [c362]Boxiong Tan, Hai Huang, Hui Ma, Mengjie Zhang:
Binary PSO for Web Service Location-Allocation. ACALCI 2017: 366-377 - [c361]Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang:
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence 2017: 39-51 - [c360]Jiatong Huo, Bing Xue, Lin Shang, Mengjie Zhang:
Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing. Australasian Conference on Artificial Intelligence 2017: 169-181 - [c359]Binh Tran, Bing Xue, Mengjie Zhang:
Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data. Australasian Conference on Artificial Intelligence 2017: 182-194 - [c358]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. CEC 2017: 286-293 - [c357]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. CEC 2017: 364-371 - [c356]Su Nguyen, Mengjie Zhang:
A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. CEC 2017: 882-889 - [c355]Tessa Phillips, Mengjie Zhang, Bing Xue:
Genetic programming for solving common and domain-independent generic recursive problems. CEC 2017: 1279-1286 - [c354]Damien O'Neill, Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Common subtrees in related problems: A novel transfer learning approach for genetic programming. CEC 2017: 1287-1294 - [c353]Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. CEC 2017: 1948-1955 - [c352]Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Genetic programming for skin cancer detection in dermoscopic images. CEC 2017: 2420-2427 - [c351]Yi Mei, Su Nguyen, Mengjie Zhang:
Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. EuroGP 2017: 147-163 - [c350]Binh Tran, Bing Xue, Mengjie Zhang:
Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data. EuroGP 2017: 210-226 - [c349]Qi Chen, Bing Xue, Yi Mei, Mengjie Zhang:
Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression. EuroGP 2017: 229-245 - [c348]Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Bagging and Feature Selection for Classification with Incomplete Data. EvoApplications (1) 2017: 471-486 - [c347]Andrew Lensen, Bing Xue, Mengjie Zhang:
Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering. EvoApplications (1) 2017: 538-554 - [c346]Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) 2017: 135-136 - [c345]Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. GECCO (Companion) 2017: 157-158 - [c344]Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolving texture image descriptors using a multitree genetic programming representation. GECCO (Companion) 2017: 219-220 - [c343]Qi Chen, Mengjie Zhang, Bing Xue:
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. GECCO (Companion) 2017: 223-224 - [c342]Andrew Lensen, Bing Xue, Mengjie Zhang:
Improving k-means clustering with genetic programming for feature construction. GECCO (Companion) 2017: 237-238 - [c341]Yuyu Liang, Mengjie Zhang, Will N. Browne:
Learning figure-ground image segmentors by genetic programming. GECCO (Companion) 2017: 239-240 - [c340]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. GECCO 2017: 282-289 - [c339]Yuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang:
Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problem. GECCO 2017: 290-297 - [c338]