top of page
此網站是使用
.com
網站幫手設計的。立即用來製作您的網站吧！立即開始

PUBLICATIONS

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

  • In Press

  1. Qiang Yang, Wei-Neng Chen, Tianlong Gu, Hu Jin, Went Mao, and Jun Zhang. "An Adaptive Stochastic Dominant Learning Swarm Optimizer for High Dimensional Optimization", IEEE Transactions on Cybernetics, accepted, 2020.

​

2022

  1. 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. 

​

​

  • 2021

  1. 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. 

  2. 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. 

​

  • 2020

  1. 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.

  2. 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.

 

  • 2018

  1. 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.

  2. 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.

  3. Wei-Jie Yu, Jing-Yu Ji, Yue-Jiao Gong, Qiang Yang, and Jun Zhang. "A Tri-objective Differential Evolution Approach for Multimodal Optimization", Information Science, vol. 423, pp. 1-23, 2018.

  4. 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.

 

  • 2017

  1. 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.

  2. 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.

  3. 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.

 

 

 

 

Conference Publications

  • 2022

  1. 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", accepted to Computer Science On-line Conference, 2022.

​

  • 2021

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

  2. Xin-Xin Liu (Graduate Student), Dong Liu, Qiang Yang*, Xiao-Fang Liu, Wei-Jie Yu, and Jun Zhang, “Comparative Analysis of Five Local Search Operators on Visiting Constrained Multiple Traveling Salesmen Problem”, accepted to IEEE Symposium Series on Computational Intelligence (SSCI), 2021.

  3. Cong Bao (Graduate Student), Qiang Yang*, Xu-Dong Gao, and Jun Zhang, “A Comparative Study on Population-Based Evolutionary Algorithms for Multiple Traveling Salesmen Problem with Visiting Constraints”, accepted to IEEE Symposium Series on Computational Intelligence (SSCI), 2021.

  4. Gong-Wei Song(Graduate Student), Qiang Yang*, Xu-Dong Gao, Yuan-Yuan Ma, Zhen-Yu Lu, and Jun Zhang, “An Adaptive Level-Based Learning Swarm Optimizer for Large-Scale Optimization”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 152-159, 2021.

​

  • 2020

  1. 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), accepted, 2020.

  2. 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), accepted, 2020.

​

  • 2016

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

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

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

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

​

  • 2015

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

​

  • 2013

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

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

​

​

​

​

​

​

​

​

​

Publications with Funding Support           Patents         Submitted_Papers

bottom of page