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JADS and EAISI together organize a lecture by visiting professor Carlos A. Coello Coello from UINVESTAV-IPN, Mexico City. This event is endorsed by the Benelux Chapter of the IEEE Computational Intelligence Society.

Anyone interested is welcome to register and join.

10:30 | Doors open
11:00 | Lecture
12:00 | Q&A

Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms

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), 25 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.

BIOGRAPHY

Carlos Artemio Coello Coello is Full Professor with distinction (Investigador Cinvestav 3F) at the Computer  Science Department of CINVESTAV-IPN in Mexico City, Mexico.

He received a PhD in Computer Science from Tulane University (USA) in 1996. His research has mainly 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 currently has more than 570 publications, including more than 200 journal papers and 50 book chapters. He has published a monographic book and has edited 3 more books with publishers such as World Scientific and Springer. He has supervised 22 PhD theses (including 3 in Argentina) and 48 Masters thesis (including one in France). Several of the PhD theses that he has supervised, have received awards in national competitions. He has also received (with his students) several 鈥�best paper awards鈥� at different international conferences. He is also the only Latin American who has been awarded (twice) the 鈥�outstanding paper award鈥� of the IEEE Transactions on Evolutionary Computation. His publications currently report 68,126 citations in Google Scholar. According to Scopus, Dr. Coello has 28,948 citations, excluding self-citations and citations from all his co-authors. His h-index is 101, according to Google Scholar, 73 according to Scopus and 67 according to Clarivate Analytics (known before as ISI Web of Science). In the ShanghaiRanking鈥檚 Global Ranking of Academic Subjects 2016 developed by Elsevier, he appears as one of the 300 most highly cited scientists in the world in 鈥淐omputer Science鈥�, occupying the first place in Mexico.

He has received several awards, including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City's congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico's edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico's presidency (this is the most important award that a scientist can receive in Mexico). He also received the Luis Elizondo Award from the Tecnol贸gico de Monterrey in 2019. Additionally, he is the recipient of the 2013 IEEE Kiyo Tomiyasu Award, for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics, of the 2016 The World Academy of Sciences (TWAS) Award in 鈥�Engineering Sciences鈥�, and of 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.