王棚，博士
副研究员
E-mail：wpeng@zzu.edu.cn
王棚，2019年至2023年在国家留学基金委资助下于新西兰惠灵顿维多利亚大学（Victoria University of Wellington）工程与计算机科学学院深造，2023年8月顺利取得博士学位。2024年1月进入郑州大学电气与信息工程学院工作。
一直从事进化算法、数据降维、机器学习等相关领域研究，并取得了一定的研究进展，曾参加在巴西里约热内卢和澳大利亚珀斯举办的IEEE WCCI 2018和AJCAI 2022学术会议，并在会议上作口头报告。并以远程形式参加了2021年的IEEE CEC和EvoStar学术会议，并作口头报告。迄今为止，以第一或通讯作者在信息科学、进化计算领域国际重要学术期刊和会议上发表学术论文10篇（其中中科院一区TOP期刊5篇），包括《IEEE Transactions on Evolutionary Computation》、《IEEE Transactions on Cybernetics》、《Pattern Recognition》、《Information Sciences》等期刊，担任包括上述等超过15个国际知名期刊和会议的特邀审稿人。
主要发表论文：
[1] Peng Wang, Bing Xue, Jing Liang*, Mengjie Zhang. Feature clustering-assisted feature selection with differential evolution [J]. Pattern Recognition, 2023, 140: 109523. (SCI, 中科院一区TOP期刊)
[2] Peng Wang, Bing Xue, Jing Liang*, Mengjie Zhang. Differential evolution based feature selection: a niching-based multi-objective approach [J]. IEEE Transactions on Evolutionary Computation, 2022, 27(2): 296-310. (SCI, 中科院一区TOP期刊)
[3] Peng Wang, Bing Xue, Jing Liang*, Mengjie Zhang. Multi-objective differential evolution for feature selection in classification [J]. IEEE Transaction on Cybernetics, 2021, 53(7): 4579-4593. (SCI, 中科院一区TOP期刊)
[4] Peng Wang, Bing Xue, Jing Liang*, Mengjie Zhang. Differential evolution with duplication analysis for feature selection in classification [J]. IEEE Transaction on Cybernetics, 2022, 53(10): 6676-6689. (SCI, 中科院一区TOP期刊)
[5] Peng Wang, Bing Xue, Jing Liang*, Mengjie Zhang. Feature selection using diversity-based binary multi-objective differential evolution [J]. Information Sciences, 2023, 626: 586-606. (SCI, 中科院一区TOP期刊)
[6] Jing Liang*, Peng Wang, Li Guo, et al. Multi-objective flow shop scheduling with limited buffers using hybrid self-adaptive differential evolution [J]. Memetic Computing, 2019, 11(4): 407-422. (SCI, 中科院三区TOP期刊)
[7] Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. A grid dominance-based multi-objective algorithm for feature selection in classification [C]. IEEE Congress on Evolutionary Computation, 2021: 2053-2060. (EI, 在线口头报告, 波兰克拉科夫)
[8] Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. Improved crowding distance in multi-objective optimization for feature selection in classification [C]. Applications of Evolutionary Computation: 24th International Conference, Springer, 2021: 489-505. (EI, 在线口头报告)
[9] Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang. Niching-assisted genetic programming for finding multiple high-quality classifiers [C]. AI 2022: Advances in Artificial Intelligence: 35th Australasian Joint Conference, Springer, 2022: 279-293. (EI, 口头报告, 澳大利亚珀斯)
[10] Jing Liang, Peng Wang, Caitong Yue, et al. Multi-objective brainstorm optimization algorithm for sparse optimization [C]. IEEE Congress on Evolutionary Computation, 2018: 1-8. (EI, 口头报告, 巴西里约热内卢)
[11] 张群, 孙钢柱, 王棚, 崔军磊. 灾区中无人机巡查和通信问题的战略模型研究 [J]. 数学的实践与认识, 2018, 48(15): 55-63.