Title: Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective

Speaker: Dr Carlos Coello Coello

Summary: In this talk, some research topics that are worth exploring (from the personal perspective of the speaker) in evolutionary multi-objective optimization will be briefly discussed. Such topics include scalability of multi-objective evolutionary algorithms (both in objective and in decision variable space), indicator-based selection, hyper-heuristics, parallelism and
scalarizing functions. In the final part of the talk, some personal thoughts about the future of the field will also be briefly discussed.

Biography: Dr Carlos Coello is a Professor with Distinction (Investigador CINVESTAV 3F) at the Center for Research and Advanced Studies of the Instituto Politécnico Nacional (CINVESTAV-IPN) in Mexico City and Visiting Professor at the Basque Center for Applied Mathematics in Spain. His work and research fall at the intersection of computer science, applied mathematics, and operations research. His main contributions have revolved around the design of biologically inspired stochastic algorithms to solve highly complex multi-objective optimization problems (mainly non-linear). He has made pioneering contributions to this area which is now known as multi-objective evolutionary optimization. For example, he proposed, along with his research group, the first genetic micro-algorithm for multi-objective optimization, which has been used in real-world applications in various countries like the United States for the design of supersonic business jets. Also, the first algorithm for multi-objective optimization based on an artificial immune system incorporating the concept of Pareto optimality, which has been a reference in specialized literature used to validate new multi-objective algorithms.

MEETING ID: 873 1557 5255; PASSWORD: 778635

WED 14 June 16:00-17:00 (AEST, Melbourne Time) – online only