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Plenary

Plenary: 20 Years of Designing Multi-Objective Evolutionary Algorithms: Lessons Learned and Challenges Lying Ahead

Carlos Coello Coello

Date & Time

Tue, July 21, 2020

11:30 am – 12:30 pm

Location

On-Demand

Abstract

In this talk, a summary of the main research findings produced by my research group in Mexico along 20 years of work will be provided in a chronological order. The focus of the talk will be on the inception process of our major achievements (e.g., the first micro-genetic algorithm for multi-objective optimization, the first Pareto-based multi-objective artificial immune system, one of the earliest multi-objective particle swarm optimizers, the first multi-objective evolutionary algorithm designed for large scale multi-objective optimization, the proposal of the Inverted Generational Distance Indicator and our findings about the true source of difficulty in many-objective optimization). Additionally, the lessons learned from some of our major failures will also be discussed (e.g., our failed attempts to design a highly competitive multi-objective cultural algorithm or to produce a multi-objective evolutionary algorithm based on the Normal Boundary Intersection approach). In the last part of the talk, some of the challenges that we currently face in evolutionary multi-objective optimization will be briefly discussed.


Presenter

Carlos Coello Coello

Depto. de Computacion, CINVESTAV-IPN
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Presentation Chair

Xin Yao

Southern University of Science and Technology

Date & Time

Tue, July 21, 2020

11:30 am – 12:30 pm

Location

On-Demand