Current and Future Research Trends in Evolutionary Multiobjective Optimization

Year
2005
Type(s)
Author(s)
Carlos A. Coello Coello and Gregorio Toscano Pulido and Efren Mezura Montes
Source
In Manuel Graña and Richard Duro and Alicia dÁnjou and Paul P. Wang (ed.): Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, Springer-Verlag: 213—231, 2005
Url
https://doi.org/10.1007/1-84628-117-2_15

In this chapter we present a brief analysis of the current research performed on evolutionary multiobjective optimization. After analyzing first- and second-generation multiobjective evolutionary algorithms, we address two important issues: the role of elitism in evolutionary multiobjective optimization and the way in which concepts from multiobjective optimization can be applied to constraint-handling techniques. We conclude with a discussion of some of the most promising research trends in the years to come.