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ORCIDRan Cheng 0004
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- Ran Cheng — disambiguation page
- Ran Cheng 0001
![[0000-0003-1264-3946]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1264-3946")
- Ran Cheng 0002
- Ran Cheng 0003
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2020 – today
- 2025
[j68]Yuxin Ma, Zherui Zhang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-Objective Evolutionary Algorithms [Application Notes]. IEEE Comput. Intell. Mag. 20(1): 78-94 (2025)- [j67]Boyan Li, Luziwei Leng, Shuaijie Shen, Kaixuan Zhang, Jianguo Zhang, Jianxing Liao, Ran Cheng:
Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7542-7554 (2025) - [j66]Rui Zhang, Luziwei Leng, Kaiwei Che, Hu Zhang, Jie Cheng, Qinghai Guo, Jianxing Liao, Ran Cheng:
Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9326-9340 (2025) - [j65]Zherui Zhang, Fan Yang, Ran Cheng, Yuxin Ma:
ParetoTracker: Understanding Population Dynamics in Multi-Objective Evolutionary Algorithms Through Visual Analytics. IEEE Trans. Vis. Comput. Graph. 31(1): 820-830 (2025) - 2024
- [j64]Dikshit Chauhan, Shivani, Ran Cheng:
Competitive Swarm Optimizer: A decade survey. Swarm Evol. Comput. 87: 101543 (2024) - [j63]Ran Cheng, Hugo Jair Escalante, Wei-Wei Tu, Jan N. van Rijn, Shuo Wang, Yun Yang:
Guest Editorial: AutoML for Nonstationary Data. IEEE Trans. Artif. Intell. 5(6): 2456-2457 (2024) - [j62]Hu Zhang, Yanchen Li, Luziwei Leng, Kaiwei Che, Qian Liu, Qinghai Guo, Jianxing Liao, Ran Cheng:
Automotive Object Detection via Learning Sparse Events by Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. 16(6): 2110-2124 (2024) - [j61]Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. IEEE Trans. Games 16(1): 51-63 (2024) - [j60]Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin:
Large-Scale Multiobjective Optimization via Reformulated Decision Variable Analysis. IEEE Trans. Evol. Comput. 28(1): 47-61 (2024) - [j59]Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. IEEE Trans. Evol. Comput. 28(2): 323-337 (2024) - [j58]Haofeng Wu, Yaochu Jin, Kailai Gao, Jinliang Ding, Ran Cheng:
Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3263-3278 (2024) - [j57]Hui Bai, Ran Cheng:
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3450-3462 (2024) - [j56]Xiangyu Wang, Ran Cheng, Yaochu Jin:
Sparse Large-Scale Multiobjective Optimization by Identifying Nonzero Decision Variables. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6280-6292 (2024) - [j55]Yansong Huang, Zherui Zhang, Ao Jiao, Yuxin Ma, Ran Cheng:
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-Objective Optimization. IEEE Trans. Vis. Comput. Graph. 30(1): 661-671 (2024) - [c35]Zhenyu Liang, Tao Jiang, Kebin Sun, Ran Cheng:
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA. GECCO 2024 - [c34]Lishuang Wang, Mengfei Zhao, Enyu Liu, Kebin Sun, Ran Cheng:
Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration. GECCO 2024 - [c33]Yifan Zhao, Zhenyu Liang, Zhichao Lu, Ran Cheng:
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation. GECCO Companion 2024: 163-166 - [c32]Luming Yang, Tao Jiang, Ran Cheng:
Tensorized Ant Colony Optimization for GPU Acceleration. GECCO Companion 2024: 755-758 - [c31]Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. ICANN (4) 2024: 58-73 - 2023
- [j54]Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-Assisted Multiobjective Neural Architecture Search for Real-Time Semantic Segmentation. IEEE Trans. Artif. Intell. 4(6): 1602-1615 (2023) - [j53]Hui Bai, Ran Cheng, Danial Yazdani, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping. IEEE Trans. Cybern. 53(11): 6937-6950 (2023) - [j52]Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff:
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27(3): 398-400 (2023) - [j51]Zhongju Yuan, Genghui Li, Zhenkun Wang, Jianyong Sun, Ran Cheng:
RL-CSL: A Combinatorial Optimization Method Using Reinforcement Learning and Contrastive Self-Supervised Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1010-1024 (2023) - [j50]Hao Tan, Ran Cheng, Shihua Huang, Cheng He, Changxiao Qiu, Fan Yang, Ping Luo:
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning. IEEE Trans. Neural Networks Learn. Syst. 34(1): 475-489 (2023) - [c30]Bowen Zheng, Ran Cheng:
Rethinking Population-assisted Off-policy Reinforcement Learning. GECCO 2023: 624-632 - 2022
- [j49]Ye Tian, Langchun Si, Xingyi Zhang, Ran Cheng, Cheng He, Kay Chen Tan, Yaochu Jin:
Evolutionary Large-Scale Multi-Objective Optimization: A Survey. ACM Comput. Surv. 54(8): 174:1-174:34 (2022) - [j48]Yan Xiao, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Hybrid attention-based transformer block model for distant supervision relation extraction. Neurocomputing 470: 29-39 (2022) - [j47]Xiaoshu Xiang, Ye Tian, Ran Cheng, Xingyi Zhang, Shengxiang Yang, Yaochu Jin:
A benchmark generator for online dynamic single-objective and multi-objective optimization problems. Inf. Sci. 613: 591-608 (2022) - [j46]Ran Cheng, Jinliang Ding, Wenli Du, Yaochu Jin:
Thematic issue on knowledge and data driven evolutionary multi-objective optimization. Memetic Comput. 14(2): 133-134 (2022) - [j45]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation. Memetic Comput. 14(2): 237-251 (2022) - [j44]Lianghao Li, Cheng He, Ran Cheng, Hongbin Li, Linqiang Pan, Yaochu Jin:
A fast sampling based evolutionary algorithm for million-dimensional multiobjective optimization. Swarm Evol. Comput. 75: 101181 (2022) - [j43]Shihua Huang, Cheng He, Ran Cheng:
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network. IEEE Trans. Artif. Intell. 3(5): 722-737 (2022) - [j42]Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52(5): 3380-3393 (2022) - [j41]Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke:
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Trans. Cybern. 52(7): 6476-6489 (2022) - [j40]Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1162-1176 (2022) - [j39]Cheng He, Ran Cheng, Danial Yazdani:
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 786-798 (2022) - [j38]Qiqi Liu, Ran Cheng, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Reference Vector-Assisted Adaptive Model Management for Surrogate-Assisted Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7760-7773 (2022) - 2021
- [j37]Haiping Ma, Haoyu Wei, Ye Tian, Ran Cheng, Xingyi Zhang:
A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. Inf. Sci. 560: 68-91 (2021) - [j36]Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng:
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. 576: 374-392 (2021) - [j35]Linqiang Pan, Wenting Xu, Lianghao Li, Cheng He, Ran Cheng:
Adaptive simulated binary crossover for rotated multi-objective optimization. Swarm Evol. Comput. 60: 100759 (2021) - [j34]Cheng He, Hao Tan, Shihua Huang, Ran Cheng:
Efficient evolutionary neural architecture search by modular inheritable crossover. Swarm Evol. Comput. 64: 100894 (2021) - [j33]Cheng He, Shihua Huang, Ran Cheng, Kay Chen Tan, Yaochu Jin:
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs). IEEE Trans. Cybern. 51(6): 3129-3142 (2021) - [j32]Linqiang Pan, Lianghao Li, Ran Cheng, Cheng He, Kay Chen Tan:
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets. IEEE Trans. Cybern. 51(6): 3325-3337 (2021) - [j31]Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao:
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. IEEE Trans. Evol. Comput. 25(2): 371-385 (2021) - [j30]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 25(3): 448-462 (2021) - [j29]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j28]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j27]Huangke Chen, Ran Cheng, Witold Pedrycz, Yaochu Jin:
Solving Many-Objective Optimization Problems via Multistage Evolutionary Search. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3552-3564 (2021) - [j26]Ye Tian, Cheng He, Ran Cheng, Xingyi Zhang:
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5880-5894 (2021) - [c29]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation. CEC 2021: 2149-2155 - [c28]Cheng He, Ran Cheng:
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization. EMO 2021: 41-52 - [c27]Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan:
Manifold Learning Inspired Mating Restriction for Evolutionary Constrained Multiobjective Optimization. EMO 2021: 296-307 - [c26]Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu:
Multi-objective Neural Architecture Search with Almost No Training. EMO 2021: 492-503 - [c25]Jianqing Lin, Cheng He, Ran Cheng:
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization. EMO 2021: 567-579 - [c24]Changwu Huang, Lianghao Li, Cheng He, Ran Cheng, Xin Yao:
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation. EMO 2021: 672-683 - [c23]Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He:
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. ICCV 2021: 844-853 - [c22]Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo:
End-to-End Dense Video Captioning with Parallel Decoding. ICCV 2021: 6827-6837 - 2020
- [j25]Huangke Chen, Ran Cheng, Jinming Wen, Haifeng Li, Jian Weng:
Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations. Inf. Sci. 509: 457-469 (2020) - [j24]Zhanglu Hou, Cheng He, Ran Cheng:
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization. Inf. Sci. 541: 1-15 (2020) - [j23]Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin:
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling. IEEE Trans. Cybern. 50(3): 1106-1119 (2020) - [j22]Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qing Chen, Xin Yao:
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. IEEE Trans. Evol. Comput. 24(5): 868-881 (2020) - [c21]Cheng He, Ran Cheng, Ye Tian, Xingyi Zhang:
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization. CEC 2020: 1-8 - [c20]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
Techniques for Accelerating Multi-Objective Evolutionary Algorithms in PlatEMO. CEC 2020: 1-8
2010 – 2019
- 2019
- [j21]Ye Tian, Ran Cheng, Xingyi Zhang, Miqing Li, Yaochu Jin:
Diversity Assessment of Multi-Objective Evolutionary Algorithms: Performance Metric and Benchmark Problems [Research Frontier]. IEEE Comput. Intell. Mag. 14(3): 61-74 (2019) - [j20]Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin:
Particle swarm optimization for network-based data classification. Neural Networks 110: 243-255 (2019) - [j19]Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(2): 331-345 (2019) - [j18]Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao:
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - [j17]Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - [c19]Yiming Chen, Tianci Pan, Cheng He, Ran Cheng:
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation. BIC-TA (2) 2019: 497-508 - [c18]Hao Tan, Cheng He, Dexuan Tang, Ran Cheng:
Efficient Evolutionary Neural Architecture Search (NAS) by Modular Inheritable Crossover. BIC-TA (1) 2019: 761-769 - [c17]Cheng He, Ran Cheng, Yaochu Jin, Xin Yao:
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. CEC 2019: 1672-1679 - [c16]Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi:
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. CEC 2019: 2018-2025 - 2018
- [j16]Fei Li, Ran Cheng, Jianchang Liu, Yaochu Jin:
A two-stage R2 indicator based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 67: 245-260 (2018) - [j15]Xingyi Zhang, Xiutao Zheng, Ran Cheng, Jianfeng Qiu, Yaochu Jin:
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence. Inf. Sci. 427: 63-76 (2018) - [j14]Shenkai Gu, Ran Cheng, Yaochu Jin:
Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Comput. 22(3): 811-822 (2018) - [j13]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. IEEE Trans. Evol. Comput. 22(1): 97-112 (2018) - [j12]Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin:
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. IEEE Trans. Evol. Comput. 22(4): 609-622 (2018) - [j11]Ran Cheng, Miqing Li, Ke Li, Xin Yao:
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. IEEE Trans. Evol. Comput. 22(5): 692-706 (2018) - [c15]Ye Tian, Xiaoshu Xiang, Xingyi Zhang, Ran Cheng, Yaochu Jin:
Sampling Reference Points on the Pareto Fronts of Benchmark Multi-Objective Optimization Problems. CEC 2018: 1-6 - 2017
- [j10]Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin:
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum]. IEEE Comput. Intell. Mag. 12(4): 73-87 (2017) - [j9]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47(12): 4108-4121 (2017) - [j8]Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng:
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. IEEE Trans. Evol. Comput. 21(4): 644-660 (2017) - [j7]Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin:
Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. 1(2): 97-111 (2017) - [c14]Ran Cheng, Miqing Li, Xin Yao:
Parallel peaks: A visualization method for benchmark studies of multimodal optimization. CEC 2017: 263-270 - [c13]Murillo G. Carneiro, Thiago Henrique Cupertino, Ran Cheng, Yaochu Jin, Liang Zhao:
Nature-Inspired Graph Optimization for Dimensionality Reduction. ICTAI 2017: 1113-1119 - [c12]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL 2017: 224-235 - 2016
- [j6]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(5): 773-791 (2016) - [c11]Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin:
A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric. CEC 2016: 5222-5229 - [c10]Murillo G. Carneiro, Liang Zhao, Ran Cheng, Yaochu Jin:
Network structural optimization based on swarm intelligence for highlevel classification. IJCNN 2016: 3737-3744 - [c9]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
Empirical analysis of a tree-based efficient non-dominated sorting approach for many-objective optimization. SSCI 2016: 1-8 - 2015
- [j5]Ran Cheng, Yaochu Jin:
A social learning particle swarm optimization algorithm for scalable optimization. Inf. Sci. 291: 43-60 (2015) - [j4]Ran Cheng, Yaochu Jin:
A Competitive Swarm Optimizer for Large Scale Optimization. IEEE Trans. Cybern. 45(2): 191-204 (2015) - [j3]Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 19(2): 201-213 (2015) - [j2]Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff:
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19(6): 838-856 (2015) - [j1]Shenkai Gu, Ran Cheng, Yaochu Jin:
Multi-objective ensemble generation. WIREs Data Mining Knowl. Discov. 5(5): 234-245 (2015) - [c8]Ran Cheng, Markus Olhofer, Yaochu Jin:
Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC 2015: 939-946 - [c7]Ran Cheng, Yaochu Jin, Kaname Narukawa:
Adaptive Reference Vector Generation for Inverse Model Based Evolutionary Multiobjective Optimization with Degenerate and Disconnected Pareto Fronts. EMO (1) 2015: 127-140 - 2014
- [c6]Ran Cheng, Yaochu Jin:
Demonstrator selection in a social learning particle swarm optimizer. IEEE Congress on Evolutionary Computation 2014: 3103-3110 - 2013
- [c5]Ran Cheng, Chaoli Sun, Yaochu Jin:
A multi-swarm evolutionary framework based on a feedback mechanism. IEEE Congress on Evolutionary Computation 2013: 718-724 - [c4]Ran Cheng, Yaochu Jin:
Simulating swarm behaviuors for optimisation by learning from neighbours. UKCI 2013: 82-87 - 2012
- [c3]Ran Cheng, Min Yao, Xiaowei Xue, Bin Shen:
Bisexual evolution: A novel bisexual evolutionary framework based on the Fisher's runaway process. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2010
- [c2]Ran Cheng, Min Yao:
A Modified Particle Swarm Optimizer with a Novel Operator. AICI (2) 2010: 293-301 - [c1]Min Yao, Wensheng Yi, Rong Zhu, Ran Cheng:
Semantic Image Retrieval Based on Multiple-Instance Learning. ICDM Workshops 2010: 905-910
Coauthor Index
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