BCAM Course | Multiobjective Optimization using Metaheuristics
Data: Al, Aza 9 - Or, Aza 13 2026
Ordua: 10:00 - 12:00
Lekua: Maryam Mirzakhani Seminar Room
Hizlariak: Dr. Carlos A. Coello Coello, CINVESTAV-IPN, Mexico City, Mexico BCAM (Ikerbasque Professor), Bilbao, Spain
Erregistroa: Registration Link
Abstract
The course will cover the fundamental concepts related to multi-objective optimization, as well as different techniques to solve these problems and also a number of standard techniques that are used throughout to assess performance of multi-objective metaheuristics. Although the course will emphasize the research work done on multi-objective evolutionary algorithms, it will also put light on other bio-inspired metaheuristics (e.g., particle swarm optimizers, tabu search, artificial immune systems, and differential evolution, among others).
Topics to be covered include:
Basic Concepts
- A review of multi-objective evolutionary algorithms
- Techniques to maintain diversity
- Test problems
- Performance indicators
- Hybrid approaches
- Other bio-inspired metaheuristics
Registration deadline: November 5th, 2026
Hizlari baieztatuak:
Carlos Artemio Coello Coello 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 630 publications, including more than 210 journal papers and 60 book chapters. He has published a monographic book and has edited 3 more books with publishers such as World Scientific and Springer. He has also received (with his students) several “best paper awards” at different international conferences. He is also the only Latin American who has been awarded (twice) the “outstanding paper award” of the IEEE Transactions on Evolutionary Computation. His publications currently report 84,886 citations in Google Scholar. According to Scopus, Dr. Coello has over 38,306 citations, excluding self-citations and citations from all his co-authors. His h-index is 110, according to Google Scholar, 82 according to Scopus and 75 according to the ISI Web of Science. In the ShanghaiRanking’s Global Ranking of Academic Subjects 2016 developed by Elsevier, he appears as one of the 300 most highly cited scientists in the world in “Computer Science”, 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 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). 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 “Engineering Sciences”, 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.
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