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Front Comput Sci Chin    2009, Vol. 3 Issue (1) : 18-30    https://doi.org/10.1007/s11704-009-0005-7
REVIEW ARTICLE
Evolutionary multi-objective optimization:some current research trends and topics that remain to be explored
Carlos A. COELLO COELLO1,2()
1. Evolutionary Computation Group, Departamento de Computcaión, Ginvestav-IPN, México D. F. 07300, México; 2. UMI-LAFMIA 3175 CNRS, México D. F. 07300, México
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Abstract

This paper provides a short review of some of the main topics in which the current research in evolutionary multi-objective optimization is being focused. The topics discussed include new algorithms, efficiency, relaxed forms of dominance, scalability, and alternative metaheuristics. This discussion motivates some further topics which, from the author’s perspective, constitute good potential areas for future research, namely, constraint-handling techniques, incorporation of user’s preferences and parameter control. This information is expected to be useful for those interested in pursuing research in this area.
Keywords evolutionary multi-objective optimization      evolutionary algorithms      multi-objective optimization      metaheuristics     
Corresponding Author(s): COELLO COELLO Carlos A.,Email:ccoello@cs.cinvestav.mx   
Issue Date: 05 March 2009
 Cite this article:   
Carlos A. COELLO COELLO. Evolutionary multi-objective optimization:some current research trends and topics that remain to be explored[J]. Front Comput Sci Chin, 2009, 3(1): 18-30.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-009-0005-7
https://academic.hep.com.cn/fcs/EN/Y2009/V3/I1/18
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