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Seminar by Carlos A. Coello Coello
September 23, 2022 @ 16:00 - 17:30
Held at Victoria University of Wellington’s Kelburn Campus, Prof. Carlos A. Coello Coello will give a presentation discussing the Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms. Please join us from 4-5:30pm on September 23 in CO350 (Cotton Building, third floor)!
Alternatively, you are welcome to join via Zoom.
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 by 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.
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 by 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 A. Coello Coello (Fellow, IEEE) received his PhD in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is currently a Professor with Distinction (CINVESTAV-3F Researcher), Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico. He has authored and co-authored over 450 technical papers and book chapters. He has also co-authored the book Evolutionary Algorithms for Solving Multiobjective Problems (2nd ed., Springer, 2007). His publications currently report over 63,197 citations in Google Scholar (his H-index is 96). His major research interests are evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms. Prof. Coello Coello received the 2007 National Research Award from the Mexican Academy of Sciences in the area of Exact Sciences, the Medal to the Scientific Merit 2009, granted by Mexico City’s congress, and the National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences. He is currently an Associate Editor of the IEEE Transactions on Evolutionary Computation and serves on the editorial board of several other international journals. He is a member of ACM, Sigma Xi, and the Mexican Academy of Science.
Carlos’ profile is available here.