夏学文
近期热点
资料介绍
个人简历
学习经历:\r2006.9-2009.6 武汉大学,博士研究生,获工学博士学位\r2003.9-2006.6 武汉大学,硕士研究生,获工学硕士学位\r2001.9-2003.6 武汉大学,本科生,获工学学士学位\r工作经历:\r2019.3-今 闽南师范大学物理与信息工程学院,教授\r2014.3-2019.2 华东交通大学软件学院,副教授\r2009.7-2014.2 湖北工程学院计算机与信息科学学院,讲师、副教授;湖北工程学院科技处研究领域
""计算智能及其应用"""主持项目:\r1. 国家自然科学基金 “协同演化算法的在大规模优化中的相关问题研究” (No. 61663009)近期论文
[1] Xuewen Xia, Ling Gui, Fei Yu, Triple Archives Particle Swarm Optimization, IEEE Transactions on Cybernetics, 2019, DOI: 10.1109/TCYB.2019.2943928\r[2] Xuewen Xia, Ling Gui, Guoliang He, An expanded particle swarm optimization based on multi-exemplar and forgetting ability, Information Sciences, 2020, 508: 105-120\r[3] Xuewen Xia, Chengwang Xie, Particle swarm optimization using multi-level adaptation and purposeful detecting operators, Information Sciences, 2017, 385-386: 174-195\r[4] Ling Gui, Xuewen Xia, A multi-role based differential evolution, Swarm and Evolutionary Computation, 2019, 50: 100508\r[5] Xuewen Xia, Ying Xing, Bo Wei, A fitness-based multi-role particle swarm optimization, Swarm and Evolutionary Computation, 2019, 44: 349-364\r[6] Xuewen Xia, Ling Gui, Zhi-Hui Zhan, A multi-swarm particle swarm optimization algorithm based on dynamical topology and purposeful detecting, Applied Soft Computing, 2018, 67: 126-140\r[7] Xuewen Xia, LIU Jingnan, HU Zhongbo, An improved particle swarm optimizer based on tabu detecting and local learning strategy in a shrunk search space, Applied Soft Computing, 2014, 23: 76-90\r[8] Xuewen Xia, Yichao Tang, B. Wei, Dynamic Multi-Swarm Particle Swarm Optimization Based on Elite Learning, IEEE Access, 2019, 7: 184849-184865\r[9] Xuewen Xia, Yichao Tang, Bo Wei, Dynamic multi-swarm global particle swarm optimization, Computing, 2020, DOI: 10.1007/s00607-019-00782-9\r[10]Xuewen Xia, Bojian Wang, Chengwang Xie, A sophisiticated PSO based on multi-level adaptation and purposeful detection, Soft Computing, 2018, 22: 2603-2618\r[11]Xuewen Xia, Ling Gui, Guoliang He, A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm, Journal of Computational Science, 2018, 26: 488-500\r[12]夏学文, 刘经南, 李元香, 具备反向学习和局部学习能力的粒子群算法, 计算机学报, 2015, 38(7): 1397-1407\r[13]夏学文, 桂凌, 戴志锋, 基于多尺度选择性学习和探测-收缩机制的PSO算法, 电子学报, 2016, 44(5): 1090-1100计算机学会、人工智能学会会员《IEEE Transactions on Evolutionary Computation》、《IEEE Transactions on Cybernetics》、《IEEE Transactions on Systems, Man and Cybernetics: Systems》、《Information Sciences》、《Applied Soft Computing》、《计算机学报》、《电子学报》等10余个国内外学术期刊的特约审稿人 相关热点
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