会议介绍

报告信息

报告题目：Lessons Learned after 29 Years Designing Multi-Objective Evolutionary Algorithms

报告人：Prof. Carlos Artemio Coello Coello, IEEE Fellow, IEEE TEVC Chief Editor

报告时间：2025年6月5日（星期四）10:30am-11:30am

报告地点：上海交通大学徐汇校区人工智能学院416室

主持人：严骏驰, 上海交通大学人工智能学院教授,IAPR Fellow, IEEE TPAMI AE

Bio

Carlos Artemio Coello Coello received a PhD in Computer Science from Tulane University (USA) in 1996. His research hasmainly focused on the design of new multi-objective optimization algorithms based on bio-inspired metaheuristics (e.g., evolutionary algorithms), which is an area in which he has made pioneering contributions. He has received several awards,including the National Research Award (in 2007) from the Mexican Academy of Science and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico's presidency, the 2013 IEEE Kiyo Tomiyasu Award, the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”, and the 2021 IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award. Since January 2011, he is an IEEE Fellow. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation. He is Full Professor with distinction (Investigador Cinvestav 3F) at the Computer Science Department of CINVESTAV-IPN in Mexico City, Mexico.

Abstract

In this talk, I will describe my origins as a researcher working in a field which is now known as "evolutionary multi-objective optimization" (EMOO), 29 years ago. Then, I'll describe the inception of my research group at Cinvestav (in Mexico City, Mexico) in 2001, including some of the issues (good and bad) that researchers had to face at that time in Mexico. I will also mention some of the main differences between the way in which research on EMOO was conducted 25 years ago with respect to current research practices including, among other things, topics and methodological issues. In the last part of the talk, I'll briefly mention some of the pioneering contributions developed at my research group, but not without mentioning some of our biggest failures, too. The discussion will include some of the research topics in which I am currently interested. I'll finalize the talk with my personal (and a bit critical) view of the way in which research on EMOO is being conducted today, including some advice for young researchers working in this exciting field.