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2019年4月29日学术报告(杨圣祥 教授,英国德蒙福特大学)
2019年04月27日08时 人评论

报告题目:Swarm Intelligence for Dynamic Optimization Problems

报告时间2019429日(周一)下午15:00

报告地点计算机学院B404

报告人杨圣祥 教授

报告人单位英国德蒙福特大学

 

报告人简介:

1999年获东北大学博士学位。1999-2012年,分别在英国King's College London(伦敦国王学院),University of Leicester(莱斯特大学)和 Brunel University(布鲁内尔大学)工作。现任英国De Montfort University(德蒙福特大学)计算机科学与信息学院教授和计算智能研究中心主任。杨教授长期从事计算智能理论、方法及应用研究,在计算智能方法、进化计算求解动态优化问题、智能网络优化等方面的研究做出了突出贡献。出版英文编著2部,编辑国际会议论文集8, 发表论文270多篇, 其中SCI期刊论文90余篇, 包括IEEE汇刊长文40余篇。杨教授应邀担任8种国际刊物的副主编或编委,曾任IEEE计算智能协会进化计算技术委员会动态和不确定环境下的进化计算专家组主席(2011-2017)和IEEE计算智能协会智能系统应用技术委员会智能网络系统专家组创始主席(2012-2017)。

 

报告摘要

Swarm intelligence (SI) in biology represents the property that the collective behavior of a swarm of agents that interact locally with their environment causes coherent functional global patterns to emerge. SI algorithms are optimization algorithms inspired from the SI phenomena in biology, such as ant foraging and bird flocking, and have been applied in different fields. Most SI algorithms have been developed to address stationary problems. However, many real-world problems are dynamic optimization problems (DOPs) that are subject to changes over time. DOPs have attracted a growing interest from the SI community in recent years due to the importance in the real-world applications of SI algorithms. This talk will first briefly introduce the concepts of SI and DOPs, then review the enhancement strategies integrated into SI algorithms to address DOPs, and describe several detailed case studies on SI methods for DOPs. Finally, some conclusions will be made and the future work on SI for DOPs will be briefly discussed.

 

邀请人:王峰 副教授


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