Selected Journal Papers
- Zhihua Cui, Jiangjiang Zhang, Di Wu, Xingjuan Cai*, Hui Wang*, Wensheng Zhang, Jinjun Chen, A hybrid many-objective particle swarm optimization algorithm for green coal production problem, Information Sciences, 2020.1 (Accepted for publication)
- Zhihua Cui, Maoqing Zhang, Hui Wang, Xingjuan Cai, Wensheng Zhang, A hybrid many-objective cuckoo search algorithm, Soft Computing, 23(21): 10681-10697, 2019.
- Xingjuan Cai, Maoqing Zhang, Hui Wang, Wensheng Zhang, Jinjun Chen, Analyses of inverted generational distance for many-objective optimization algorithms, International Journal of Bio-Inspired Computation, 14(1): 62–68, 2019.
- Jiangjiang Zhang, Zhihua Cui, Yechuang Wang, Hui Wang, Xingjuan Cai, Jinjun Chen, Wuzhao Li, A coupling approach with GSO-BFOA for many-objective optimization, IEEE Access, 7: 120248-120261, 2019.
- Songyi Xiao, Wenjun Wang, Hui Wang*, Xinyu Zhou, A new artificial bee colony based on multiple search strategies and dimension selection, IEEE Access, 7: 133982-133995, 2019.
- Hui Wang, Wenjun Wang, Zhihua Cui, Xinyu Zhou, Jia Zhao, Ya Li, A new dynamic firefly algorithm for demand estimation of water resources, Information Sciences, 438: 95–106, 2018.
- Xingjuan Cai, Hui Wang, Zhihua Cui, Jianghui Cai , Yu Xue and Lei Wang, Bat algorithm with triangle-flipping strategy for numerical optimization, International Journal of Machine Learning and Cybernetics, 9(2): 199-215, 2018.
- Hui Wang, Wenjun Wang, Laizhong Cui, Hui Sun, Jia Zhao, Yun Wang, Yu Xue, A hybrid multi-objective firefly algorithm for big data optimization, Applied Soft Computing, 69: 806–815, 2018.
- Maoqing Zhang, Hui Wang, Zhihua Cui, Jinjun Chen, Hybrid multi-objective cuckoo search with dynamical local search, Memetic Computing, 10(2): 199–208, 2018.
- Hui Wang, Wenjun Wang, Xinyu Zhou, Hui Sun, Jia Zhao, Xiang Yu, Zhihua Cui, Firefly algorithm with neighborhood attraction, Information Sciences, 382/383: 374-387, 2017.
- Hui Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan, Xin-She Yang, Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism, Soft Computing, 21(18): 5325–5339, 2017.
- Wenjun Wang, Dongxiao Liu, Hui Wang*, Firefly algorithm for multi-objective optimal allocation of water resource, International Journal of Innovative Computing and Applications, 8(4): 222–227, 2017.
- Hui Wang, Xinyu Zhou, Hui Sun, Xiang Yu, Jia Zhao, Hai Zhang, Laizhong Cui, Firefly algorithm with adaptive control parameters, Soft Computing, 21(17): 5091–5102, 2017.
- Xinyu Zhou, Hui Wang, Mingwen Wang, Jianyi Wan, Enhancing the modified artificial bee colony algorithm with neighborhood search, Soft Computing, 21(10): 2733–2743, 2017.
- Hui Wang, Wenjun Wang, Hui Sun, Zhihua Cui, Shahryar Rahnamayan, Sanyou Zeng, A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems, Soft Computing, 21(15): 4297–4307, 2017.
- Jia Zhao, Li Lv, Hui Wang, Hui Sun, Runxiu Wu, Jugen Nie and Zhifeng Xie, Particle swarm optimization based on vector Gaussian learning, KSII Transactions on Internet and Information Systems, 11(4): 2038-2057, 2017.
- Hui Wang, Wenjun Wang, Hui Sun, Shahryar Rahnamayan, Firefly algorithm with random attraction, International Journal of Bio-Inspired Computation, 8(1): 33-41, 2016.
- Xinyu Zhou, Zhijian Wu, Hui Wang, Shahryar Rahnamayan, Gaussian bare-bones artificial bee colony algorithm, Soft Computing, 20(3): 907-924, 2016.
- Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jengshyang Pan, Multi-strategy ensemble artificial bee colony algorithm, Information Sciences, 279: 587-603, 2014.
- Xinyu Zhou, Zhijian Wu, Hui Wang, Shahryar Rahnamayan, Enhancing differential evolution with role assignment scheme, Soft Computing, 18(11): 2209-2225, 2014.
- Hui Wang, Shahryar Rahnamayan, Hui Sun, Mahamed G.H. Omran, Gaussian bare-bones differential evolution, IEEE Transactions on Cybernetics, 43(2): 634-647, 2013.
- Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Jengshyang Pan, Diversity enhanced particle swarm optimization with neighborhood search, Information Sciences, 223: 119-135, 2013.
- Hui Wang, Shahryar Rahnamayan, Zhijian Wu, Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems, Journal of Parallel and Distributed Computing, 73(1): 62-73, 2013.
- Hui Wang, Wenjun Wang, Zhijian Wu, Particle swarm optimization with adaptive mutation for multimodal optimization, Applied Mathematics and Computation, 221: 296-305, 2013.
- Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Marc Ventresca, Enhancing particle swarm optimization using generalized opposition-based learning, Information Sciences, 181(20): 4699-4714, 2011.
- Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Enhanced opposition-based differential evolution for high-dimensional optimization problems, Soft Computing, 15(11): 2127-2140, 2011.
- Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jin Wang, Xianqiang Yang, A simple and fast particle swarm optimization, Journal of Multiple-Valued Logic and Soft Computing, 2010, 16(6): 611-629.
Conference Papers
- H. Wang, W. Wang, S. Xiao, Z. Cui, W.Li, H. Zhu, S. Zhu, Multi-strategy and dimension perturbation ensemble of artificial bee colony, IEEE Congress on Evolutionary Computation (CEC 2019), pp. 697-704, 2019.
- H. Wang, W. Wang, A new multi-strategy ensemble artificial bee colony algorithm for water demand prediction, The 10th International Symposium on Intelligence Computation and Applications (ISICA2018), Springer, pp. 63–70, 2019.
- J.C. Wang, C.H. Li, Y.Y. Diao, S.Y. Zeng, H. Wang, An efficient nondominated sorting algorithm, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 203-204, 2018.
- X.Y. Zhou, Y.N. Liu, M.W. Wang, J.Y. Wan, H. Wang, W.J. Wang, H. Peng, Differential evolution with multi-information guidance, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 260-261, 2018.
- H. Peng, C.S. Deng, H. Wang, W.J. Wang, X.Y. Zhou, Z.J. Wu, Gaussian bare-bones cuckoo search algorithm, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), pp. 93-94, 2018.
- L. Peng, H. Zhang, Z.Y. Liu, H. Wang*, H.S. Zhu, Design of Fibonacci sequence RFID antenna using differential evolution, Proceedings of the 37th Chinese Control Conference (CCC 2018), pp. 3186-3189, 2018.
- H. Wang, W. Wang, Z. Cui, A new artificial bee colony algorithm for solving large-scale optimization problems, The 18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2018), Springer, LNCS 11335, pp. 329-337, 2018.
- H. Wang, Z.X. Chen, W.J. Wang, Z.J. Wu, K.L. Wu, W. Li, Improving energy demand estimation using an adaptive firefly algorithm, The 9th International Symposium on Intelligence Computation and Applications (ISICA 2017), pp. 171-18, 2017.
- H. Wang, Z.H. Cui, W.J. Wang, X.Y. Zhou, J. Zhao, L. Lv, H. Sun, Firefly algorithm for demand estimation of water resources, The 24th International Conference on Neural Information Processing (ICONIP 2017), vol. 10637, pp. 11-20, 2017.
- H. Wang, W. Wang, H. Sun, J. Zhao, X. Yu, L. Lv, H. Zhu, Adaptive firefly algorithm with alternative search, IEEE Congress on Evolutionary Computation (CEC 2016), pp. 1779-1785, 2016.
- W. Wang, H. Wang, H. Sun and S. Rahnamayan, Using opposition-based learning to enhance differential evolution: A comparative study, IEEE Congress on Evolutionary Computation (CEC 2016), pp. 71-77, 2016.
- H. Wang, W. Wang, H. Sun, C. Li, S. Rahnamayan, Y. Liu, A modified cuckoo search algorithm for flow shop scheduling problem with blocking, IEEE Congress on Evolutionary Computation (CEC 2015), pp.456-463, 2015.
- J. Guo, Z. Li, W. Xie, H. Wang, Dissipative differential evolution with self-adaptive control parameters, IEEE Congress on Evolutionary Computation (CEC 2015), pp. 3088-3095, 2015.
- H. Liu, Z. Wu, H. Wang, S. Rahnamayan, C. Deng, Improved differential evolution with adaptive opposition strategy, IEEE Congress on Evolutionary Computation (CEC 2014), pp. 1776-1783, 2014.
- H. Liu, Z. Wu, H. Li, H. Wang, S. Rahnamayan, C. Deng, Rotation-based learning: a novel extension of opposition-based learning, The 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014), pp. 511-522, 2014.
- H. Wang, Z. Wu, X. Zhou and S. Rahnamayan, Accelerating artificial bee colony algorithm by using an external archive, IEEE Congress on Evolutionary Computation (CEC 2013), pp. 517-521, 2013.
- H. Wang, S. Rahnamayan, Z. Wu, Adaptive differential evolution with variable population size for solving high-dimensional problems, IEEE Congress on Evolutionary Computation (CEC 2011), pp. 2626-2632, 2011.
- H. Wang, Z. Wu, S. Rahnamayan, Differential evolution enhanced by neighborhood search, IEEE Congress on Evolutionary Computation (CEC 2010), pp. 1-6, 2010.
- H. Wang, Z. Wu, S. Rahnamayan, D. Jiang, Sequential differential evolution enhanced by neighborhood search for large scale global optimization, IEEE Congress on Evolutionary Computation (CEC 2010), pp. 4056-4062, 2010.
- H. Wang, Z. Wu, Y. Liu, D. Jiang, J. Wang, C. Chen, A new evolutionary technique: space transformation search, The ACM SIGEVO World Summit on Genetic and Evolutionary Computation (GEC 2009), pp. 537-544, 2009.
- H. Wang, Z. Wu, S. Rahnamayan and L. Kang, A scalability test for accelerated DE using generalized opposition-based learning, Proceedings of Intelligent System Design and Applications (ISDA 2009), pp. 1090-1095, 2009.
- H. Wang, Y. Liu, Z. Wu, H. Sun, S. Zeng and L. Kang. An improved particle swarm optimization with adaptive jumps, IEEE Congress on Evolutionary Computation (CEC 2008), pp. 392-397, 2008.
- H. Wang, Y. Liu, S. Zeng, C. Li, A hybrid particle swarm algorithm with Cauchy mutation, IEEE Swarm Intelligence Symposium (SIS 2007), pp. 356-361, 2007, Honolulu, Hawaii, USA, IEEE press.
- H. Wang, Y. Liu, S. Zeng, H. Li, C. Li, Opposition-based particle swarm algorithm with Cauchy mutation, IEEE Congress on Evolutionary Computation (CEC 2007), pp. 4750–4756, 2007, Singapore, IEEE press.