李伟

个人简介：

李伟，男，工学博士，副教授，硕士生导师，江西理工大学信息工程学院计算机科学与技术专业教研室主任，国家自然科学基金通信评审专家，江西省科技项目评审专家，江西省高新技术企业认定评审专家，赣州数字经济研究院专家，赣州市南康区数字经济发展顾问，国家级、省级人工智能相关学科竞赛优秀指导教师，江西理工大学“最受学生欢迎的十佳教师”，江西理工大学“优秀教师”，江西理工大学“青年科技标兵”，优秀研究生指导教师、优秀学位论文指导教师。

现为IEEE Computational Intelligence Society会员，中国计算机学会会员，中国仿真学会高级会员，智能仿真优化与调度专业委员会副监事长。主要从事智能计算、进化算法、进化深度学习及智能优化等理论与应用研究。主持国家自然科学基金、省部级科研项目5余项，参与完成国家、省部级以上科研项目20余项。以第一作者在高水平期刊《Swarm and Evolutionary Computation》、《Expert Systems with Applications》、《Information Sciences》、《Applied Soft Computing》、《International Journal of Intelligent Systems》、《Neurocomputing》、《Complex and Intelligent Systems》等国内外一流期刊发表高水平论文30余篇，其中多篇论文位列JCR一区Top期刊、国内高质量卓越期刊。担任多个国际期刊的客座编辑，负责并组织多次智能计算及其应用国际会议，国内外多个知名期刊审稿人。组建的计算智能实验室与国内外及港澳台多个智能计算顶尖实验室有项目合作，可推荐到这些实验室交流或是继续攻读博士学位。

二、主持在研科研项目及经费

[1] Reinforcement Learning-Based Particle Swarm Optimization with Neighborhood Differential Mutation Strategy,Swarm and Evolutionary Computation. 2023, 78:101274. https://doi.org/10.1016/j.swevo.2023.101274.(SCI, EI, IF: 10.267, JCR Q1,一区TOP).

[2] DC-SHADE-IF: An Infeasible-Feasible Regions Constrained Optimization Approach with Diversity Controller,Expert Systems with Applications. 2023, 224:119999. https://doi.org/10.1016/j.eswa.2023.119999.(SCI, EI, IF: 8.665, JCR Q1,一区TOP).

[3] Adaptive Complex Network Topology with Fitness Distance Correlation Framework for Particle Swarm Optimization,International Journal of Intelligent Systems. 2022, 37: 5217-5247. https://doi.org/10.1002/int.22790.(SCI, EI, IF: 8.709, JCR Q1,一区TOP).

[4] Multipopulation Cooperative Particle Swarm Optimization with A Mixed Mutation Strategy,Information Sciences. 2020, 529: 179-196. https://doi.org/10.1016/j.ins.2020.02.034.(SCI, EI, IF: 8.233, JCR Q1,一区TOP).

[5] Heuristic Smoothing Ant Colony Optimization with Differential Information for The Traveling Salesman Problem,Applied Soft Computing. 2023, 133: 109943. https://doi.org/10.1016/j.asoc.2022.109943.(SCI, EI, IF: 8.263, JCR Q1,二区TOP).

[6] Fitness Distance Correlation and Mixed Search Strategy for Differential Evolution,Neurocomputing. 2021,458: 514-525. https://doi.org/10.1016/j.neucom.2019.12.141.(SCI, EI, IF: 5.719, JCR Q1,二区TOP).

[7] Knowledge-Guided Multiobjective Particle Swarm Optimization with Fusion Learning Strategies,Complex & Intelligent Systems. 2021, 7: 1223–1239. https://doi.org/10.1007/s40747-020-00263-z.(SCI, EI, IF: 4.927, JCR二区).

[8] An Ant Colony Optimization Algorithm with Adaptive Greedy Strategy to Optimize Path Problems,Journal of Ambient Intelligence and Humanized Computing. 2022, 13: 1557-1571. https://doi.org/10.1007/s12652-021-03120-0.(SCI, EI, IF: 4.594, JCR二区).

[9] Self-Feedback Differential Evolution Adapting to Fitness Landscape Characteristics.Soft Computing. 2019, 23(4): 1151–1163.(SCI, EI, IF: 3.05, JCR三区).

[10] An Efficient Particle Swarm Optimization with Multidimensional Mean Learning,International Journal of Pattern Recognition and Artificial Intelligence. 2021, 35(3): 2151005. https://doi.org/10.1142/S0218001421510058.(SCI, EI, IF: 1.375, JCR四区).

[11] An Adaptive Differential Evolution Algorithm using Fitness Distance Correlation and Neighbourhood-Based Mutation Strategy.Connection Science. 2022, 34:1, 829-856. https://doi.org/10.1080/09540091.2021.1997913.(SCI, EI, IF: 1.971, JCR四区).

[12] Adaptive Dimensional Learning with a Tolerance Framework for the Differential Evolution Algorithm.Complex System Modeling and Simulation. 2022, 2(1): 59-77. https://doi.org/10.23919/CSMS.2022.0001.(高水平科技期刊T1级).

[13]基于容忍度的网络拓扑自适应差分进化算法.计算机集成制造系统. 2022, 28 (11): 3479-3493.(EI期刊,CSCD核心).

[14] Adaptive Particle Swarm Optimization Using Scale-Free Network Topology,Journal of Network Intelligence. 2021. 6(3): 500-517.(EI期刊).

[15] A Novel Differential Evolution with Staged Diversity Enhancement Strategy,International Journal of Innovative Computing and Applications. 2022, 13: N5/6.(EI期刊).

[16] Dynamic Population Cooperative: Particle Swarm Optimization for Global Optimization Problems,International Journal of Swarm Intelligence Research. 2023, 13(1): 1-20, https://doi.org/10.4018/IJSIR.313664.(EI期刊).

[17] Multiple Topology SHADE with Tolerance-based Composite Framework for CEC2022 Single Objective Bound Constrained Numerical Optimization,2022 IEEE Congress on Evolutionary Computation (CEC). 2022, Padua, Italy. https://doi.org/10.1109/CEC55065.2022.9870395.(EI期刊).

三、科研成果

主持参与课题：

[1]国家自然科学基金项目，62066019、基于协同进化粒子群优化算法的离子型稀土浸矿过程及其污染问题研究，2021-2024，项目负责人。

[2]国家重点研发计划“网络协同制造和智能工厂”重点专项，2020YFB1713700、离子型稀土产业集聚区域网络协同制造集成技术研究与应用示范，2020-2023，项目参与人。

[3]江西省自然科学基金面上项目，20202BABL202020、融合混合搜索策略与适应度景观方法的优化算法及应用研究，2020-2022，项目负责人。

[4]江西省教育厅科学技术研究项目，GJJ160631、基于适应度景观的进化算法及应用研究、2017/01-2018/12，结题、项目负责人。

[5]江西省教育厅青年基金项目，GJJ12368、基于演化计算的布尔函数流密码系统研究、2012/01-2013/10，结题、项目负责人。

[6]江西省教育厅科学技术研究项目，GJJ12348、一种基于演化算法的高速视频流智能识别系统研究、2012/01-2013/12，结题、项目负责人。