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2020 – today
- 2022
[j54]Wanpeng Zhang, Shuai Wang
, Aimin Zhou, Hu Zhang:
A practical regularity model based evolutionary algorithm for multiobjective optimization. Appl. Soft Comput. 129: 109614 (2022)- [j53]Feng Liu, Siyuan Shen, Ziwang Fu, Hanyang Wang, Aimin Zhou, Jia-Yin Qi:
LGCCT: A Light Gated and Crossed Complementation Transformer for Multimodal Speech Emotion Recognition. Entropy 24(7): 1010 (2022) - [j52]Ming Yang, Aimin Zhou, Xiaofen Lu, Zhihua Cai, Changhe Li, Jing Guan:
CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization. Expert Syst. Appl. 203: 117397 (2022) - [j51]Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li:
EvoGAN: An evolutionary computation assisted GAN. Neurocomputing 469: 81-90 (2022) - [j50]Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang:
Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds. J. Comput. Chem. 43(4): 255-264 (2022) - [j49]Ying Qian, Xuelian Li, Jian Wu, Aimin Zhou, Zhijian Xu, Qian Zhang:
Cover Image. J. Comput. Chem. 43(4): i (2022) - [j48]Qing Xu, Feng Liu, Ziwang Fu, Aimin Zhou, Jiayin Qi:
AeS-GCN: Attention-enhanced semantic-guided graph convolutional networks for skeleton-based action recognition. Comput. Animat. Virtual Worlds 33(3-4) (2022) - [j47]Feng Liu, Deli Kong, Jinhua Kong, Shiying Lu, Zilong Xiao, Qing Xu, Aimin Zhou, Jiayin Qi:
Pandemic Bonds Issued by the Chinese Government Supported Post-Disaster Recovery from COVID-19 Pandemic. J. Soc. Comput. 3(2): 158-170 (2022) - [j46]Hengzhe Zhang, Aimin Zhou, Hong Qian, Hu Zhang:
PS-Tree: A piecewise symbolic regression tree. Swarm Evol. Comput. 71: 101061 (2022) - [j45]Hengzhe Zhang, Aimin Zhou, Hu Zhang:
An Evolutionary Forest for Regression. IEEE Trans. Evol. Comput. 26(4): 735-749 (2022) - [j44]Hao Hao, Aimin Zhou, Hong Qian, Hu Zhang:
Expensive Multiobjective Optimization by Relation Learning and Prediction. IEEE Trans. Evol. Comput. 26(5): 1157-1170 (2022) - [c67]Hao Hao, Shuai Wang, Bingdong Li, Aimin Zhou:
A Surrogate Model Assisted Estimation of Distribution Algorithm with Mutil-acquisition Functions for Expensive Optimization. CEC 2022: 1-8 - [c66]Ziwang Fu, Feng Liu, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li:
NHFNET: A Non-Homogeneous Fusion Network for Multimodal Sentiment Analysis. ICME 2022: 1-6 - [c65]Hong Qian, Xu-Hui Liu, Chen-Xi Su, Aimin Zhou, Yang Yu:
The Teaching Dimension of Regularized Kernel Learners. ICML 2022: 17984-18002 - [c64]Zihan Wang, Chunyun Xiao, Aimin Zhou:
An Exact Inverted Generational Distance for Continuous Pareto Front. PPSN (2) 2022: 96-109 - 2021
- [j43]Aimin Zhou, Hongbin Liu, Shutao Zhang, Jinyan Ouyang:
Evaluation and Design Method for Product Form Aesthetics Based on Deep Learning. IEEE Access 9: 108992-109003 (2021) - [j42]Shutao Zhang, Shijie Wang, Aimin Zhou, Shifeng Liu, Jianning Su:
Cognitive Matching of Design Subjects in Product Form Evolutionary Design. Comput. Intell. Neurosci. 2021: 8456736:1-8456736:23 (2021) - [j41]Qinyan Dai, Faming Fang, Juncheng Li, Guixu Zhang, Aimin Zhou:
Edge-guided Composition Network for Image Stitching. Pattern Recognit. 118: 108019 (2021) - [j40]Cong Liu, Tingting Bian, Aimin Zhou:
Multiobjective multiple features fusion: A case study in image segmentation. Swarm Evol. Comput. 60: 100792 (2021) - [j39]Feng Wang, Heng Zhang, Aimin Zhou:
A particle swarm optimization algorithm for mixed-variable optimization problems. Swarm Evol. Comput. 60: 100808 (2021) - [j38]Yi Chen, Aimin Zhou, Swagatam Das:
Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization. Swarm Evol. Comput. 66: 100928 (2021) - [j37]Ming Yang, Aimin Zhou, Changhe Li, Xin Yao:
An Efficient Recursive Differential Grouping for Large-Scale Continuous Problems. IEEE Trans. Evol. Comput. 25(1): 159-171 (2021) - [c63]Ting Wu, Hong Qian, Aimin Zhou, Zhenzi Li:
Bi-Objective Search Method for Bayesian Network Structure Learning. CCIS 2021: 433-437 - [c62]Hao Hao, Aimin Zhou, Hu Zhang:
An Approximated Domination Relationship based on Binary Classifiers for Evolutionary Multiobjective Optimization. CEC 2021: 2427-2434 - [c61]Yi Chen, Hemant Kumar Singh, Aimin Zhou, Tapabrata Ray:
A Fast Converging Evolutionary Algorithm for Constrained Multiobjective Portfolio Optimization. EMO 2021: 283-295 - [c60]Hengzhe Zhang, Aimin Zhou:
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning. IJCNN 2021: 1-8 - [c59]Ziwang Fu, Feng Liu, Jiahao Zhang, Hanyang Wang, Chengyi Yang, Qing Xu, Jiayin Qi, Xiangling Fu, Aimin Zhou:
SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition. ICMR 2021: 110-117 - [c58]Jiahao Zhang, Feng Liu, Aimin Zhou:
Off-TANet: A Lightweight Neural Micro-expression Recognizer with Optical Flow Features and Integrated Attention Mechanism. PRICAI (1) 2021: 266-279 - [e1]Hisao Ishibuchi, Qingfu Zhang, Ran Cheng, Ke Li, Hui Li, Handing Wang, Aimin Zhou:
Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Shenzhen, China, March 28-31, 2021, Proceedings. Lecture Notes in Computer Science 12654, Springer 2021, ISBN 978-3-030-72061-2 [contents] - [i11]Yi Chen, Aimin Zhou:
Variable Division and Optimization for Constrained Multiobjective Portfolio Problems. CoRR abs/2101.08552 (2021) - [i10]Renjue Li, Hanwei Zhang, Pengfei Yang, Cheng-Chao Huang, Aimin Zhou, Bai Xue, Lijun Zhang:
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. CoRR abs/2106.02867 (2021) - [i9]Feng Liu, Hanyang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li:
EvoGAN: An Evolutionary Computation Assisted GAN. CoRR abs/2110.11583 (2021) - [i8]Ziwang Fu, Feng Liu, Hanyang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li:
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognition. CoRR abs/2111.02172 (2021) - [i7]Ziwang Fu, Feng Liu, Hanyang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou:
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences. CoRR abs/2112.01697 (2021) - 2020
- [j36]Tonglin Liu, Hengzhe Zhang, Hu Zhang, Aimin Zhou:
Information Fusion in Offspring Generation: A Case Study in Gene Expression Programming. IEEE Access 8: 74782-74792 (2020) - [j35]Aimin Zhou, Jinyan Ouyang, Jianning Su, Shutao Zhang, Shutian Yan:
Multimodal optimisation design of product forms based on aesthetic evaluation. Int. J. Arts Technol. 12(2): 128-154 (2020) - [j34]Aimin Zhou, Yirui Wang, Jinyuan Zhang:
Objective extraction via fuzzy clustering in evolutionary many-objective optimization. Inf. Sci. 509: 343-355 (2020) - [j33]Ming Yang, Aimin Zhou, Changhe Li, Jing Guan, Xuesong Yan:
CCFR2: A more efficient cooperative co-evolutionary framework for large-scale global optimization. Inf. Sci. 512: 64-79 (2020) - [j32]Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou:
Adaptive population structure learning in evolutionary multi-objective optimization. Soft Comput. 24(13): 10025-10042 (2020) - [j31]Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang:
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. IEEE Trans. Evol. Comput. 24(3): 479-493 (2020) - [j30]Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou:
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. IEEE Trans. Evol. Comput. 24(6): 1125-1139 (2020) - [c57]Wenyue Hu, Aimin Zhou, Guixu Zhang:
A Classification Surrogate Model based Evolutionary Algorithm for Neural Network Structure Learning. IJCNN 2020: 1-7 - [c56]Hu Zhang, Hengzhe Zhang, Aimin Zhou:
A Multi-metric Selection Strategy for Evolutionary Symbolic Regression. SMC 2020: 585-591 - [i6]Xinyi Zeng, Qian Zhang, Jia Chen, Guixu Zhang, Aimin Zhou, Yiqin Wang:
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation. CoRR abs/2003.06529 (2020) - [i5]Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang:
Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray. CoRR abs/2012.15442 (2020)
2010 – 2019
- 2019
- [j29]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng:
On Balancing Neighborhood and Global Replacement Strategies in MOEA/D. IEEE Access 7: 45274-45290 (2019) - [j28]Shuai Wang, Hu Zhang, Yi Zhang, Aimin Zhou, Peng Wu:
A Spectral Clustering-Based Multi-Source Mating Selection Strategy in Evolutionary Multi-Objective Optimization. IEEE Access 7: 131851-131864 (2019) - [j27]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang:
A new learning-based adaptive multi-objective evolutionary algorithm. Swarm Evol. Comput. 44: 304-319 (2019) - [j26]Maoguo Gong, Aimin Zhou, A. Kai Qin, Linqiang Pan:
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019) - [j25]Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao:
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - [j24]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye:
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 23(4): 541-555 (2019) - [c55]Aimin Zhou, Jinyuan Zhang, Jianyong Sun, Guixu Zhang:
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization. AAAI 2019: 2403-2410 - [c54]Yingxia Chen, Cong Liu, Aimin Zhou, Guixu Zhang:
MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images. CEC 2019: 1068-1073 - [c53]Yi Chen, Aimin Zhou:
MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-Objective Portfolio Optimization. CEC 2019: 1742-1749 - [c52]Aimin Zhou, Haoying Zhao, Hu Zhang, Guixu Zhang:
Pareto Optimal Set Approximation by Models: A Linear Case. EMO 2019: 451-462 - [c51]Dedong Li, Aimin Zhou, Chuan Shi:
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26 - [i4]Yi Chen, Aimin Zhou, Swagatam Das:
A Compressed Coding Scheme for Evolutionary Algorithms in Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization. CoRR abs/1909.08748 (2019) - 2018
- [j23]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
Preselection via classification: a case study on global optimisation. Int. J. Bio Inspired Comput. 11(4): 267-281 (2018) - [j22]Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang:
Preselection via classification: A case study on evolutionary multiobjective optimization. Inf. Sci. 465: 388-403 (2018) - [j21]Hui Fang, Aimin Zhou, Hu Zhang:
Information fusion in offspring generation: A case study in DE and EDA. Swarm Evol. Comput. 42: 99-108 (2018) - [j20]Jianyong Sun, Aimin Zhou, Simeon Keates, Shengbin Liao:
Simultaneous Bayesian Clustering and Feature Selection Through Student's t Mixtures Model. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1187-1199 (2018) - [c50]Xiaoji Chen, Chuan Shi, Aimin Zhou, Siyong Xu, Bin Wu:
A Hybrid Replacement Strategy for MOEA/D. BIC-TA (1) 2018: 246-262 - [c49]Yi Chen, Aimin Zhou, Liang Dou:
An evolutionary algorithm with a new operator and an adaptive strategy for large-scale portfolio problems. GECCO (Companion) 2018: 247-248 - [c48]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
Preselection via one-class classification for evolutionary optimization. GECCO (Companion) 2018: 259 - [c47]Yanfeng Liu, Aimin Zhou, Hu Zhang:
Termination detection strategies in evolutionary algorithms: a survey. GECCO 2018: 1063-1070 - [c46]Hao Hao, Jinyuan Zhang, Aimin Zhou:
A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization. ICIC (2) 2018: 717-728 - [c45]Hanwei Zhang, Aimin Zhou:
Tree-Structured Decomposition and Adaptation in MOEA/D. PPSN (1) 2018: 359-371 - [i3]Jinwei Lin, Aimin Zhou:
PyDraw: a GUI drawing generator based on Tkinter and its design concept. CoRR abs/1808.09094 (2018) - 2017
- [c44]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai:
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification. CEC 2017: 797-804 - [c43]Hanwei Zhang, Aimin Zhou, Guixu Zhang, Hemant Kumar Singh:
Accelerating MOEA/D by Nelder-Mead method. CEC 2017: 976-983 - [c42]Yi Chen, Aimin Zhou, Rongfang Zhou, Peng He, Yong Zhao, Lihua Dong:
An Evolutionary Algorithm with a New Coding Scheme for Multi-objective Portfolio Optimization. SEAL 2017: 97-109 - [i2]Jinyuan Zhang, Aimin Zhou, Ke Tang, Guixu Zhang:
Preselection via Classification: A Case Study on Evolutionary Multiobjective Optimization. CoRR abs/1708.01146 (2017) - 2016
- [j19]Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46(2): 474-486 (2016) - [j18]Aimin Zhou, Qingfu Zhang:
Are All the Subproblems Equally Important? Resource Allocation in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(1): 52-64 (2016) - [j17]Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(3): 475-480 (2016) - [j16]Hu Zhang, Aimin Zhou, Shenmin Song, Qingfu Zhang, Xiao Zhi Gao, Jun Zhang:
A Self-Organizing Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(5): 792-806 (2016) - [c41]Hui Fang, Aimin Zhou, Guixu Zhang:
A Mean Shift Assisted Differential Evolution Algorithm. BIC-TA (2) 2016: 163-172 - [c40]Bing Dong, Aimin Zhou, Guixu Zhang:
Sampling in latent space for a mulitiobjective estimation of distribution algorithm. CEC 2016: 3027-3034 - [c39]Hui Fang, Aimin Zhou, Guixu Zhang:
An estimation of distribution algorithm guided by mean shift. CEC 2016: 3268-3275 - [c38]Chupeng Zeng, Aimin Zhou, Guixu Zhang:
Self-adaptive spectral cluster number detecting with particle swarm optimization algorithm. CEC 2016: 4607-4611 - [c37]Bing Dong, Aimin Zhou, Guixu Zhang:
A hybrid estimation of distribution algorithm with differential evolution for global optimization. SSCI 2016: 1-7 - [i1]Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang:
Learning from Non-Stationary Stream Data in Multiobjective Evolutionary Algorithm. CoRR abs/1606.05169 (2016) - 2015
- [j15]Cong Liu, Aimin Zhou, Chunxue Wu, Guixu Zhang:
Image segmentation framework based on multiple feature spaces. IET Image Process. 9(4): 271-279 (2015) - [j14]Chunzhi Li, Aimin Zhou, Guixu Zhang, Faming Fang:
An Antinoise Method for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 12(3): 636-640 (2015) - [j13]Hu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao:
A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement. Int. J. Mach. Learn. Cybern. 6(3): 487-500 (2015) - [j12]Wenyin Gong, Aimin Zhou, Zhihua Cai:
A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization. IEEE Trans. Evol. Comput. 19(5): 746-758 (2015) - [j11]Aimin Zhou, Jianyong Sun, Qingfu Zhang:
An Estimation of Distribution Algorithm With Cheap and Expensive Local Search Methods. IEEE Trans. Evol. Comput. 19(6): 807-822 (2015) - [c36]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
A Multiobjective Evolutionary Algorithm Based on Decomposition and Preselection. BIC-TA 2015: 631-642 - [c35]Aimin Zhou, Yuting Zhang, Guixu Zhang, Wenyin Gong:
On neighborhood exploration and subproblem exploitation in decomposition based multiobjective evolutionary algorithms. CEC 2015: 1704-1711 - [c34]Jinyuan Zhang, Aimin Zhou, Guixu Zhang:
A classification and Pareto domination based multiobjective evolutionary algorithm. CEC 2015: 2883-2890 - 2014
- [j10]Cong Liu, Aimin Zhou, Qian Zhang, Guixu Zhang:
Adaptive image segmentation by using mean-shift and evolutionary optimisation. IET Image Process. 8(6): 327-333 (2014) - [j9]Chunzhi Li, Faming Fang, Aimin Zhou, Guixu Zhang:
A Novel Blind Spectral Unmixing Method Based on Error Analysis of Linear Mixture Model. IEEE Geosci. Remote. Sens. Lett. 11(7): 1180-1184 (2014) - [j8]Aimin Zhou, Yaochu Jin, Qingfu Zhang:
A Population Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 44(1): 40-53 (2014) - [c33]Yang Li, Aimin Zhou, Guixu Zhang:
An MOEA/D with multiple differential evolution mutation operators. IEEE Congress on Evolutionary Computation 2014: 397-404 - [c32]Hu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao:
A clustering based multiobjective evolutionary algorithm. IEEE Congress on Evolutionary Computation 2014: 723-730 - [c31]Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou:
A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation 2014: 2132-2139 - [c30]Qiuxiao Liao, Aimin Zhou, Guixu Zhang:
A locally weighted metamodel for pre-selection in evolutionary optimization. IEEE Congress on Evolutionary Computation 2014: 2483-2490 - [c29]Jianyong Sun, Aimin Zhou:
Unsupervised robust Bayesian feature selection. IJCNN 2014: 558-564 - 2013
- [j7]Aimin Zhou, Feng Gao, Guixu Zhang:
A decomposition based estimation of distribution algorithm for multiobjective traveling salesman problems. Comput. Math. Appl. 66(10): 1857-1868 (2013) - [j6]Cong Liu, Aimin Zhou, Guixu Zhang:
Automatic clustering method based on evolutionary optimisation. IET Comput. Vis. 7(4): 258-271 (2013) - [c28]Zhenzhen Dai, Aimin Zhou, Guixu Zhang, Sanyi Jiang:
A differential evolution with an orthogonal local search. IEEE Congress on Evolutionary Computation 2013: 2329-2336 - [c27]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
Approximation Model Guided Selection for Evolutionary Multiobjective Optimization. EMO 2013: 398-412 - [c26]Qiannan Du, Aimin Zhou, Cong Liu, Guixu Zhang:
Hyperspectral band selection based on evolutionary optimization. ICNC 2013: 739-743 - [c25]Cong Liu, Aimin Zhou, Qiannan Du, Guixu Zhang:
Practical path-based methods for clustering arbitrary shaped data sets. ICNC 2013: 962-966 - [c24]Hu Zhang, Shenming Song, Aimin Zhou:
MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid. IDEAL 2013: 455-462 - 2012
- [c23]Aimin Zhou, Qingfu Zhang, Guixu Zhang:
A multiobjective evolutionary algorithm based on decomposition and probability model. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c22]Yang Li, Aimin Zhou, Guixu Zhang:
A Decomposition based estimation of distribution algorithm for multiobjective knapsack problems. ICNC 2012: 803-807 - [c21]Feng Gao, Aimin Zhou, Guixu Zhang:
An estimation of distribution algorithm based on decomposition for the multiobjective TSP. ICNC 2012: 817-821 - [c20]Jing Zhang, Aimin Zhou, Guixu Zhang:
An Evolutionary Approach for Image Registration. ISICA 2012: 321-330 - [c19]Zhengyu Huang, Aimin Zhou, Guixu Zhang:
Non-negative Matrix Factorization: A Short Survey on Methods and Applications. ISICA 2012: 331-340 - [c18]Yun Wang, Brendan M. Kelly, Aimin Zhou:
Hop Distance Analysis in Partially Connected Wireless Sensor Networks. MASCOTS 2012: 161-168 - 2011
- [j5]Ming-Hua Wu, Rong Wu, Aimin Zhou:
Optimal risk control policies for diffusion models with non-cheap proportional reinsurance and bankruptcy value. J. Syst. Sci. Complex. 24(5): 892-906 (2011) - [j4]Aimin Zhou, Bo-Yang Qu, Hui Li, Shi-Zheng Zhao, Ponnuthurai Nagaratnam Suganthan, Qingfu Zhang:
Multiobjective evolutionary algorithms: A survey of the state of the art. Swarm Evol. Comput. 1(1): 32-49 (2011) - [c17]