Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization View Full Text


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Article Info

DATE

2016-05

AUTHORS

Carlos Segura, Carlos A. Coello Coello, Gara Miranda, Coromoto León

ABSTRACT

In recent decades, several multi-objective evolutionary algorithms have been successfully applied to a wide variety of multi-objective optimization problems. Along the way, several new concepts, paradigms and methods have emerged. Additionally, some authors have claimed that the application of multi-objective approaches might be useful even in single-objective optimization. Thus, several guidelines for solving single-objective optimization problems using multi-objective methods have been proposed. This paper offers an updated survey of the main methods that allow the use of multi-objective schemes for single-objective optimization. In addition, several open topics and some possible paths of future work in this area are identified. More... »

PAGES

217-250

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    URI

    http://scigraph.springernature.com/pub.10.1007/s10479-015-2017-z

    DOI

    http://dx.doi.org/10.1007/s10479-015-2017-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002786333


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