Evolutionary multiobjective optimization: open research areas and some challenges lying ahead

Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short desc...

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Bibliographic Details
Published in:	Complex & intelligent systems Vol. 6; no. 2; pp. 221 - 236
Main Authors:	Coello Coello, Carlos A., González Brambila, Silvia, Figueroa Gamboa, Josué, Castillo Tapia, Ma Guadalupe, Hernández Gómez, Raquel
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 01-07-2020 Springer Nature B.V Springer
Subjects:	Complexity Computational Intelligence Computer science Data Structures and Information Theory Engineering Fuzzy sets Genetic algorithms Intelligent systems Mathematical programming Multiple objective analysis Objectives Optimization Pareto optimum Pythagorean fuzzy sets Pythagorean fuzzy value Sabbatical leave Similarity Survey and State of the Art Similarity Pythagorean fuzzy value Pythagorean fuzzy sets
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Summary:	Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges lying ahead. This paper provides a short description of some of them, with a particular focus on open research areas, rather than on specific research topics or problems. The main aim of this paper is to motivate researchers and students to develop research in these areas, as this will contribute to maintaining this discipline active during the next few years.
ISSN:	2199-4536 2198-6053
DOI:	10.1007/s40747-019-0113-4