Prof. Carlos Coello Coello: Where is the Research on Evolutionary Multi-Objective Optimization Heading to?

#optimization #optimisation #cis #computational #evolutionary #modelling #computing

Professor Carlos A. Coello Coello will deliver a talk on the history and future of research on evolutionary multi-objective optimization.  This event is jointly presented by the IEEE Computational Intelligence Society (CIS) and the IEEE Computer Society (IEEE-CS).

This is a hybrid event.  Participants who are able to attend in person at Swinburne University of Technology are encouraged to do so.  The event will also be streamed via Microsoft Teams.

  Date and Time




  • Date: 06 Apr 2023
  • Time: 03:00 PM to 04:30 PM
  • All times are (UTC+10:00) Canberra
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  • Swinburne University of Technology
  • John Street
  • Hawthorn, Victoria
  • Australia 3122
  • Building: ATC Building
  • Room Number: ATC101
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  • Co-sponsored by Swinburne University of Technology


Professor Carlo A. Coello Coello Professor Carlo A. Coello Coello


Where is the Research on Evolutionary Multi-Objective Optimization Heading to?

The first multi-objective evolutionary algorithm was published in 1985. However, it was not until the late 1990s that the so-called evolutionary multi-objective optimization began to gain popularity as a research area. Throughout these 38 years, there have been several important advances in the area, including the development of different families of algorithms, test problems, performance indicators, hybrid methods and real-world applications, among many others. In the first part of this talk we will take a quick look at some of these developments, focusing mainly on some of the most important recent achievements. In the second part of the talk, a critical analysis will be made of the by analogy research that has proliferated in recent years in specialized journals and conferences (perhaps as a side effect of the abundance of publications in this area). Much of this research has a very low level of innovation and almost no scientific input but is backed by a large number of statistical tables and analyses. In the third and final part of the talk, some of the future research challenges for this area, which, after 38 years of existence, is just beginning to mature, will be briefly mentioned.


Dr. Carlos Artemio Coello Coello is a Full Professor with distinction (Investigador Cinvestav 3F) in the Computer Science Department of CINVESTAV-IPN in Mexico City, Mexico. He received the PhD in Computer Science from Tulane University (USA) in 1996. His research has mainly focused on the design of novel 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 more than 570 publications, including more than 180 journal papers and 50 book chapters. His publications currently report 65,825 citations (with h-index of 98) in Google Scholar and 27,491 citations (with h-index of 71) in Scopus. He has received many prestigious awards, e.g., the 2007 National Research Award from the Mexican Academy of Science (in the area of exact sciences) and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico’s presidency (which is the most important award that a scientist can receive in Mexico). He is also the recipient of the 2013 IEEE Kiyo Tomiyasu Award for his pioneering contributions to “single- and multi-objective optimization techniques using bio-inspired metaheuristics” and the 2021 IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award. Since January 2011, he is an IEEE Fellow. He is now the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation (SCI impact factor: 16.497) which is a flagship journal in the field of AI.