特邀西苏格兰大学人工智能、视觉通讯及网络研究中心主任Dahal Keshav 教授来校做学术报告

发布单位:数学与统计学院编辑:朱亚宾发布时间:2019-12-05浏览量:13

学术报告题目:TMulti-objective search with evolving fitness functions for solving scheduling problems

报告时间:2019年12月11日(周三)下午14:00-15:00

报告人:Dahal Keshav 博士

主持人:陈允杰 教授

报告地点:藕舫楼818室

报告题目:TMulti-objective search with evolving fitness functions for solving scheduling problems

报告摘要:This talk will present some of the development in multi-objective approaches for solving complex scheduling problem. The first part of the talk will investigate multi-objective and weighted single objective approaches to a real world workforce scheduling problem. The computational experiments show that multi-objective genetic algorithms can create solutions whose fitness is close to that of the solution created by the genetic algorithms using weighted sum objectives even though the multi-objective approaches know nothing of the weights. In second part of the talk will discuss the variable fitness function approach to enhance the metaheuristic approaches by evolving weights for each of the multiple objectives. The results show that the variable fitness function approach improves the performance of constructive and variable neighbourhood search approaches on workforce scheduling problem instances.

数学与统计学院

2019年12月5日


报告人简介:Dahal Keshav博士是2019年度我校高端外国专家引进项目资助专家,现为西苏格兰大学人工智能,视觉通讯及网络研究中心主任、教授。他的感兴趣的研究领域包括:灾难物流和调度问题;智能系统、计算智能、数据挖掘,OR决策技术;远程医疗系统;移动自组网和分布式系统的信任和安全建模。