个人简介
许沛澜,博士,硕士生导师,讲师,2022年博士毕业于中国科学技术大学计算机科学与技术专业。围绕人工智能领域中的智能优化与决策开展了大量研究,研究兴趣包括群体智能、强化学习、多智能体及其应用。在IEEE TEVC、ACM TELO等国内外重要学术期刊和会议上发表论文30余篇,其中IEEE/ACM Transactions和中科院一区论文10余篇。授权国家发明专利3项。指导学生参加II类创新创业竞赛获国家一等奖、二等奖共4项,指导国家级、省级大学生创新创业计划项目共2项。
欢迎对相关领域感兴趣的本科生、硕士生通过邮箱和我联系
主要论著:
[1] Peilan Xu, Wenjian Luo, Xin Lin, Jiajia Zhang and Xuan Wang, A Large-Scale Continuous Optimization Benchmark Suite with Versatile Coupled Heterogeneous Modules. Swarm and Evolutionary Computation. 2023, 78: 101280.
[2] Peilan Xu, Wenjian Luo, Xin Lin, Yatong Chang and Ke Tang, Difficulty and Contribution Based Cooperative Coevolution for Large-Scale Optimization. IEEE Transactions on Evolutionary Computation. 2023, 27(5): 1355 - 1369.
[3] Peilan Xu, Wenjian Luo, Xin Lin, Jiajia Zhang, Yingying Qiao and Xuan Wang, Constraint-Objective Cooperative Coevolution for Large-Scale Constrained Optimization. ACM Transactions on Evolutionary Learning and Optimization, 2021, 1(3): 1-26.
[4] Peilan Xu, Wenjian Luo, Xin Lin and Yingying Qiao, Evolutionary Continuous Constrained Optimization Using Random Direction Repair. Information Sciences, 2021, 566: 80-102.
[5] Peilan Xu, Wenjian Luo, Jiafei Xu, Yingying Qiao, Jiajia Zhang and Naijie Gu, An Alternative Way of Evolutionary Multimodal Optimization: Density-based Population Initialization Strategy. Swarm and Evolutionary Computation, 2021, 67: 100971.
[6] Peilan Xu, Wenjian Luo, Xin Lin, Shi Cheng and Yuhui Shi, BSO20: Efficient Brain Storm Optimization for Real-Parameter Numerical Optimization. Complex & Intelligent System, 2021, 7: 2415-2436.
[7] Peilan Xu, Wenjian Luo, Jiafei Xu, Yingying Qiao and Jiajia Zhang, Density-based Population Initialization Strategy for Continuous Optimization. In Proceedings of the 2020 International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA), Springer, 2020, pp. 46-59.
[8] Peilan Xu, Wenjian Luo, Xin Lin, Yingying Qiao and Tao Zhu, Hybrid of PSO and CMA-ES for Global Optimization. In Proceedings of the 2019 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2019, pp. 46-59.
教育经历
[1] 2013.9- 2017.7
大连工业大学 | 信息与计算科学 | 理学学士 | 本科
[2] 2017.9- 2022.7
中国科学技术大学 | 计算机应用技术 | 工学博士 | 博士研究生
工作经历
[1] 2022.7- 至今
南京信息工程大学
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人工智能学院
社会兼职
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研究方向
[1] 群体博弈
[2] 强化学习
[3] 群体智能
[4] 演化计算
其他联系方式
团队成员
暂无内容