北京科学与工程计算研究院学术报告之八十七

报告人/Speaker: 邵立珍 (北京科技大学)


报告题目/Title: Multi-objective optimization and its applications


时间/Date & Time: 2018年11月28日,10:00—11:00


地点/Location: 理科楼M843  


报告摘要/Abstract:

Many real-world search and optimization problems are naturally multi-objective. Due to the lack of suitable solution techniques, such problems were artificially converted into a single-objective problem and solved. The difficulty arose because such problems give rise to a set of trade-off optimal solutions, instead of a single optimum solution. It then becomes important to find not just one Pareto-optimal solution, but as many of them as possible. This is because any two such solutions constitute a trade-off among the objectives and users would be in a better position to make a choice when many such trade-off solutions are unveiled. In this talk, we are going to introduce several multi-objective optimization algorithms we proposed for solving multi-objective linear programming problems and their real-world applications.


报告人简介/About the speaker:  

邵立珍,女,博士,副教授。2002年获得电子科技大学测试计量技术及仪器专业硕士学位,2008年获得新西兰奥克兰大学运筹学博士学位。2008年至2009年在新西兰奥克兰大学做博士后研究。2009年加入北京科技大学自动化学院。2014年至2015年为英国兰卡斯特大学访问学者。主要研究方向是多目标优化、数据挖掘、模式识别等。近年来主持了国家自然科学基金、北京市自然科学基金、教育部博士点基金等多项课题的研究工作。出版了英文学术专著1部,在《European Journal of Operational Research》、《Journal of Global Optimization》、《Optimization》等SCI期刊和国际会议论文集上发表学术论文30余篇。