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PUBLICATIONS

In the following publications, * indicates that the authors with this symbol are the cooresponding authors of the associated papers and # indicates that the authors with this symbol contribute equally to this paper and thus they can be seen as the co-first authors.

Book & Book Chapters

  1. 【Book Chapter】Qiang Yang, Wei-Neng Chen, and Jun Zhang, "Probabilistic Multimodal Optimization", in book "Metaheuristics for Finding Multiple Solutions", edited by Mike Preuss, Michael G. Epitropakis, Xiaodong Li, and Jonathan E. Fieldsend, Springer, Cham, 2021.​

Journal Publications

  1. Qiang Yang*, Gong-Wei Song (Graduate Student), Wei-Neng Chen, Ya-Hui Jia, Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Random Contrastive Interaction for Particle Swarm Optimization in High-Dimensional Environment", IEEE Transactions on Evolutionary Computation, in press, 2024.

  2. Qiang Yang, Zhuo-Yin Qiao (Graduate Student), Pei-Lan Xu, Xin Lin, Xu-Dong Gao, Zi-Jia Wang, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Triple Competitive Differential Evolution for Global Numerical Optimization", Swarm and Evolutionary Computations, vol. 84, p. 101450, 2024.

  3. Qiang Yang*, Gong-Wei Song (Graduate Student), Xu-Dong Gao, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, A Random Elite Ensemble Learning Swarm Optimizer for High-Dimensional Optimization”, Complex & Intelligent System, vol. 9, no. 5, pp. 5467-5500, 2023.

  4. Tian-Tian Wang (Undergraduate Student), Qiang Yang*, and Xu-Dong Gao"Dual Elite Groups Guided Differential Evolution for Global Numerical Optimization", Mathematics, vol. 11, no. 17:3681, pp. 1-51, 2023

  5. Wen-Xuan Ji (Undergraduate Student), Qiang Yang*, and Xu-Dong Gao"Gaussian Sampling Guided Differential Evolution Based on Elites for Global Optimization", IEEE Access, vol. 11, pp. 80915-80944, 2023.

  6. En Zhang, Zi-Hao Nie (Graduate Student), Qiang Yang*, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, and Jun Zhang, "Heterogeneous Cognitive Learning Particle Swarm Optimization for Large-Scale Optimization Problems", Information Sciences, vol. 633, pp. 321-342, 2023.

  7. Junna Zhang, De-Gang Chen (Graduate Student), Qiang Yang*, Yiqiao Wang, Dong Liu, Sang-Woon Jeon, and Jun Zhang, "Proximity Ranking-Based Multimodal Differential Evolution", Swarm and Evolutionary Computation, vol. 78, p. 101277, 2023.

  8. Dong Liu, Hao He (Graduate Student)Qiang Yang*, Yiqiao Wang, Sang-Woon Jeon, and Jun Zhang, "Function Value Ranking Aware Differential Evolution for Global Numerical Optimization", Swarm and Evolutionary Computation, vol. 78, p. 101282, 2023

  9. Zi-Jia Wang, Qiang Yang, Yu-Hui Zhang, Shu-Hong Chen, and Yuan-Gen Wang, "Superiority Combination Learning Distributed Particle Swarm Optimization for Large-Scale Optimization", Applied Soft Computing, vol. 136, p. 110101, 2023.

  10. Tao Li, Zhi-Hui Zhan, Jiu-Cheng Xu, Qiang Yang, and Yuan-Yuan Ma, "A Binary Individual Search Strategy-based Bi-objective Evolutionary Algorithm for High-dimensional Feature Selection", Information Sciences, vol. 610, pp. 651-673, 2022.

  11. Qiang Yang*, Jia-Qi Yan (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu, and Jun Zhang, "Random Neighbor Elite Guided Differential Evolution for Global Numerical Optimization", Information Sciences, vol. 607, pp. 1408-1438, 2022.

  12. Xu-Dong Gao, Wen-Jie Cao, Qiang Yang*, Hong-Lin Wang, Xiaolei Wang, Guang Jin, and Jun Zhang, "Parameter Optimization of Control System Design for Uncertain Wireless Power Transfer Systems Using Modified Genetic Algorithm", CAAI Transactions on Intelligence Technology, vol. 7, no. 4, pp. 582 - 593, 2022.

  13. Xu-Dong Gao, Qiang Yang, and Jun Zhang, "Multi-objective Optimization for Operator-Based Robust Nonlinear Control Design for Wireless Power Transfer Systems",  International Journal of Advanced Mechatronic Systems, vol. 9, no. 4, pp. 203-210, 2022.

  14. Zhen-Yu Lu, Shao-Yang Liang (Graduate Student), Qiang Yang*, and Bo Du, Evolving Block-Based Convolutional Neural Network for Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60: 5525921, pp. 1-21, 2022.

  15. Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Wentao Mao, and Jun Zhang. "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High Dimensional Optimization", IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1960-1976, 2022. [Supplementary Material].

  16. Qiang Yang, Yu-Fei Jing (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu, Sang Woon Jeon, and Jun Zhang, "Predominant Cognitive Learning Particle Swarm Optimization for Global Numerical Optimization", Mathematics, vol. 10, no.10:1620, pp.1-32, 2022

  17. Qiang Yang, Yuan-Peng Zhu (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, and Zhen-Yu Lu, "Elite Directed Particle Swarm Optimization with Historical Information for High-Dimensional Problems", Mathematics, vol. 10, no.9:1384, pp.1-29, 2022 

  18. Qiang Yang, Xu Guo (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, and Zhen-Yu Lu, "Differential Elite Learning Particle Swarm Optimization for Global Numerical Optimization", Mathematics, vol. 10, no.8:1261, pp.1-31, 2022

  19. Qiang Yang, Yu-Wei Bian (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu,  Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Stochastic Triad Topology Based Particle Swarm Optimization for Global Numerical Optimization", Mathematics, vol. 10, no.7:1032, pp.1-39, 2022

  20. Qiang Yang, Kai-Xuan Zhang (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "A Dimension-Group Based Comprehensive Elite Learning Swarm Optimizer for Large-Scale Optimization", Mathematics, vol. 10, no.7:1072, pp.1-30, 2022

  21. Qiang Yang, Li-Tao Hua (Undergraduate Student), Xu-Dong Gao, Dong-Dong Xu, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang, "Stochastic Cognitive Dominance Leading Particle Swarm Optimization for Multimodal Problems", Mathematics, vol. 10, no. 5: 761, pp. 1-31, 2022. 【ESI高被引论文】

  22. Qiang Yang*, Yong Li (Graduate Student), Xu-Dong Gao, Yuan-Yuan Ma, Zhen-Yu Lu, Sang-Woon Jeon, and Jun Zhang"An Adaptive Covariance Scaling Estimation of Distribution Algorithm", Mathematics, vol. 9, no. 24: 3207, pp. 1-38, 2021【IF: 2.258/2020,JCR一区,中科院大类二区】

  23. Feng-Feng Wei, Wei-Neng Chen*, Qiang Yang*, Jeremiah Da Deng, Xiao-Nan Luo, Hu Jin and Jun Zhang. "A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization", IEEE Transactions on Evolutionary Computation, vol. 25, no. 2, pp. 219-233, 2021【IF: 11.169/2020,中科院大类一区】

  24. Wei-Neng Chen, Da-Zhao Tan, Qiang Yang, Tianlong Gu, and Jun Zhang. "Ant Colony Optimization for the Control of Pollutant Spreading on Social Networks", IEEE Transactions on Cybernetics, vol. 50, no. 9, pp.4053-4065, 2020. 【IF: 11.079/2020,中科院大类一区】

  25. Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Sam Kwong, and Jun Zhang. "A Distributed Swarm Optimizer with Adaptive Communication for Large Scale Optimization", IEEE Transactions on Cybernetics, vol. 50, no. 7, pp. 3393-3408, 2020. 【IF: 11.079/2020,中科院大类一区】

  26. Qiang Yang, Wei-Neng Chen, and Jun Zhang. "Evolution Consistency Based Decomposition for Cooperative Coevolution", IEEE Access, vol. 6, no. 1, pp. 51084-51097, 2018. 【IF: 3.745/2020,中科院大类二区】

  27. Qiang Yang, Wei-Neng Chen, Jeremiah Da Deng, Yun Li, Tianlong Gu, and Jun Zhang. "A Level-based Learning Swarm Optimizer for Large Scale Optimization", IEEE Transactions on Evolutionary Computation, vol. 22, no. 4, pp. 578-594, 2018. 【Code】【IF: 11.169/2020,中科院大类一区】

  28. Long-Kai Huang, Qiang Yang, Wei-Shi Zheng. "Online Hashing". IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2309-2322, 2018. 【IF: 8.793/2020,中科院大类一区】

  29. Wei-Jie Yu, Jing-Yu Ji, Yue-Jiao Gong, Qiang Yang, and Jun Zhang. "A Tri-objective Differential Evolution Approach for Multimodal Optimization", Information Sciences, vol. 423, pp. 1-23, 2018. 【IF: 5.910/2020,中科院小类一区】

  30. Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Jeremiah D. Deng, Yun Li, and Jun Zhang. "Segment-based Predominant Learning Swarm Optimizer for Large Scale Optimization", IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2896-2910, 2017【IF: 11.079/2020,中科院大类一区】

  31. Qiang Yang, Wei-Neng Chen, Zhengtao Yu, Tianlong Gu, Yun Li, Huaxiang Zhang, and Jun Zhang. "Adaptive Multimodal Continuous Ant Colony Optimization", IEEE Transactions on Evolutionary Computation, vol. 21, no. 2, pp. 191-205, 2017. 【Code】【IF: 11.169/2020,中科院大类一区】

  32. Qiang Yang, Wei-Neng Chen, Yun Li, C. L. Philip Chen, Xiang-Min Xu, and Jun Zhang. "Multimodal Estimation of Distribution Algorithms", IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 636-650, 2017. 【IF: 11.079/2020,中科院大类一区】

Conference Publications

  1. De-Ming Wu (Graduate Student), Qiang Yang*, Chang-Jun Zhou, Zhong-Long Zheng, and Jun Zhang, "Adapted Ant Colony Optimization for Large-Scale Orienteering Problem", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)accepted, 2024.

  2. Zi-Yang Bo (Graduate Student), Qiang Yang*, Ya-Hui Jia, Xu-Dong Gao, Zhen-Yu Lu, and Jun Zhang, "Evolutionary Algorithm with Cross-Generation Environmental Selection for Traveling Salesman Problem", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)accepted, 2024.

  3. Islam Taharimul, Zhuo-Yin Qiao, Qiang Yang*, Xu-Dong Gao, and Zhen-Yu Lu, "Adaptive Crossover Selection for Differential Evolution to Solve Global Optimization Problems", in IEEE International Conference on Intelligent Control and Information Processing (ICICIP), pp. 219-2262024.

  4. Danting Duan (Ph.d Student), Bing Sun (Graduate Student), Qiang Yang*, Wei Zhong, Long Ye, Qin Zhang, and Jun Zhang, "Gender-Sensitive EEG Channel Selection for Emotion Recognition Using Enhanced Genetic Algorithm", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3261-3266, 2023.

  5. Hanyang Pan (Graduate Student), Qiang Yang*, Ming Li, En Zhang, Yuan-Yuan Ma, Tao Li, Dong Liu, and Jun Zhang, "Stochastic Dominant Cognitive Experience Guided Particle Swarm Optimization", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 5192-5197,  2023.

  6. Ming-Yuan Lu (Graduate Student), Qiang Yang*, Dong Liu, Yuan-Yuan Ma, Tao Li, and Jun Zhang, "Investigation of Using Large-Scale Swarm Optimizers to Optimize Sub-problems in Cooperative Coevolution", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 5186-5191, 2023.

  7. Hao Cao (Graduate Student), Qiang Yang*, Xu-Dong Gao, Peilan Xu, Zhen-Yu Lu, and Jun Zhang, "Random Pairwise Competition Based Ant Selection for Pheromone Updating in Ant Colony Optimization", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1426-1431, 2023.

  8. Jiawei Ji (Graduate Student), Qiang Yang*, Xu-Dong Gao, Peilan Xu, and Zhen-Yu Lu, "Binomial Distribution Assisted Individual Selection for Differential Evolution", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1420-1425, 2023.

  9. Zhuo-Yin Qiao (Graduate Student), Qiang Yang*, Xu-Dong Gao, Peilan Xu, and Zhen-Yu Lu, "Comparative Study on Different Types of Surrogate-Assisted Evolutionary Algorithms for High-Dimensional Expensive Problems", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1135-1140, 2023.

  10. Xin-Ai Dou (Graduate Student), Qiang Yang*, Peilan Xu, Xu-Dong Gao, and Zhen-Yu Lu, "Comparative Study on Different Encoding Strategies for Multiple Traveling Salesmen Problem", in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1393-1398, 2023.

  11. Tan-Lin Xiao (Graduate Student), Qiang Yang*Xu-Dong Gao, Zhen-Yu Lu, Yuan-Yuan Ma, Sang-Woon Jeon, and Jun Zhang, "Variation Encoded Large-Scale Swarm Optimizers for Path Planning of Unmanned Aerial Vehicle", in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO),  pp. 102-110, 2023.

  12. Nuo Xu (Graduate Student), Deming Wu (Graduate Student), Qiang Yang*, Hua Wang, Xiangmin Zhou, Zhonglong Zheng, Yisu Ge, and Xudong Gao, "Ant Colony Optimization for Multiple Traveling Salesmen Problem with Pivot Cities", in IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 1 - 8, 2023.【Best Paper Award】

  13. Xudong Gao, Wenjie Cao (Graduate Student), Qiang Yang, and Jun Zhang, "A PSO-Based Maximum Efficiency Optimization for Wireless Power Transfer Systems with Class-E Power Amplifier", in IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 1 - 6, 2023.

  14. Xinai Dou (Graduate Student), Qiang Yang*, Xudong Gao, Zhenyu Lu, and Jun Zhang, "A Comparative Study on Crossover Operators of Genetic Algorithm for Traveling Salesman Problem", in IEEE International Conference on Advanced Computational Intelligence (ICACI), pp. 1 - 8, 2023.

  15. Jia-Wei Ji (Graduate Student), Qiang Yang*, Xu-Dong Gao, and Zhen-Yu Lu, “Investigation of Adaptive Parameter Strategies for Differential Evolution”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1127 - 1132, 2022.

  16. Cong Bao (Graduate Student), Qiang Yang*, Xu-Dong Gao, and Zhen-Yu Lu, “Genetic Algorithm with Adapted Crossover Operators for Multiple Traveling Salesmen Problem with Visiting Constraints”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3033 - 3039, 2022.

  17. Zi-Hao Nie (Graduate Student), Qiang Yang*, En Zhang, Dong Liu, and Jun Zhang, “Ant Colony Optimization for Electric Vehicle Routing Problem with Capacity and Charging Time Constraints”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 480 - 485, 2022 Best Student Paper Award---Runners Up, totally 5 papers】.

  18. Yuan-Peng Zhu (Undergraduate Student), Qiang Yang*, Xu-Dong Gao, and Zhen-Yu Lu, “A Ranking Weight Based Roulette Wheel Selection Method for Comprehensive Learning Particle Swarm Optimization”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1 - 7, 2022.

  19. Yong Li (Graduate Student), Qiang Yang*, Xu-Dong Gao, Zhen-Yu Lu, and Jun Zhang, "A Layered Learning Estimation of Distribution Algorithm", in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), pp. 399-402, 2022.

  20. Cong Bao (Graduate Student), Qiang Yang*, Xu-Dong Gao, Zhen-Yu Lu, and Jun Zhang, "Ant Colony Optimization with Shortest Distance Biased Dispatch for Visiting Constrained Multiple Traveling Salesmen Problem", in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), pp. 77-80, 2022.

  21. Ruo-Yu Zhu (Graduate Student), Chuan Wang*, Qiang Yang*, Xiao-Fang Liu, Dong Liu, Lin Sun, Hua Wang, and Jun Zhang, "Proximity-Based MAENS for Capacitated Multiple Traveling Salesmen Problem", in Computer Science On-line Conference, pp. 22-33, 2021.

  22. Bin Sun (Graduate Student), Chuan Wang*, Qiang Yang*, Wei-Li Liu, and Wei-Jie Yu, "Ant Colony Optimization for Balanced Multiple Traveling Salesmen Problem", in International Conference on Computational Science and Computational Intelligence (CSCI), pp. 476-481, 2021.

  23. Xin-Xin Liu (Graduate Student), Dong Liu, Qiang Yang*, Xiao-Fang Liu, Wei-Jie Yu, and Jun ZhangComparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem”, in IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8, 2021.

  24. Cong Bao (Graduate Student), Qiang Yang*, Xu-Dong Gao, and Jun ZhangA Comparative Study on Population-Based Evolutionary Algorithms for Multiple Traveling Salesmen Problem with Visiting Constraints”, in IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-82021.

  25. Gong-Wei Song(Graduate Student), Qiang Yang*, Xu-Dong Gao, Yuan-Yuan Ma, Zhen-Yu Lu, and Jun ZhangAn Adaptive Level-Based Learning Swarm Optimizer for Large-Scale Optimization”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 152-1592021.

  26. Tian-Fang Zhao, Wei-Neng Chen, Xiao-Kun Wu, Liang Yang, and Qiang Yang, “Discrete Resource Allocation in Epidemic Control with Swarm-based Metaheuristic Algorithm”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2058-2065, 2020.

  27. Xin-Xin Ma, Wei-Neng Chen, and Qiang Yang, “A Gaussian Process Assisted Offline Estimation of Multivariate Gaussian Distribution Algorithm”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 572-578,  2020.

  28. Wen Shi, Wei-Neng Chen, Qiang Yang, and Jun Zhang, "A Multi-optimizer Cooperative Coevolution Method for Large Scale Optimization", in IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-7, 2016.

  29. Han-Yu Xie, Qiang Yang, Xiao-Min Hu and Wei-Neng Chen, "Cross-Generation Elites Guided Particle Swarm Optimization for Large Scale Optimization", in IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8, 2016.

  30. Qiang Yang, Han-Yu Xie, Wei-Neng Chen, Jun Zhang, “Multiple Parents Guided Differential Evolution for Large Scale Optimization”, in IEEE Congress on Evolutionary Computation (CEC), pp.3549-3556, 2016.

  31. An Song, Qiang Yang, Wei-Neng Chen, Jun Zhang, “A Random-based Dynamic Grouping Strategy for Large Scale Multi-Objective Optimization”, in IEEE Congress on Evolutionary Computation (CEC),pp. 468-475, 2016.

  32. Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang, and Jingdong Wang. "Quantized Correlation Hashing for Fast Cross-modal Search", in International Joint Conference on Artificial Intelligence (IJCAI), pp. 3946-3952, 2015.

  33. Qiang Yang, Longkai Huang, Wei-Shi Zheng, Yingbiao Ling, "Smart Hashing Update for Fast Response", in International Joint Conference on Artificial Intelligence (IJCAI), pp. 1855-1861, 2013.

  34. Longkai Huang, Qiang Yang, Wei-Shi Zheng, "Online Hashing", in International Joint Conference on Artificial Intelligence (IJCAI), pp. 1422-1428, 2013.

Publications in Chinese (中文论文)

  1. 孙冰 (研究生),王川*,杨强*,刘晓芳,毛文涛,“面向不确定多起点均衡多旅行商问题的进化算法”,计算机工程与设计,第44期,第7卷,第2030-2038页,2023.

  2. 陈伟能,杨强,"基于概率分布的多峰演化算法",计算机研究与发展(Journal of Computer Research and Development),第54期,第6卷,第1185-1197页,2017.

  3. 陈伟能,杨强,"并行与分布式进化计算",中国人工智能学会通讯,第8卷,第24-36页,2016.

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