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2016 | OriginalPaper | Buchkapitel

23. Multiobjective Optimization

verfasst von : Ke-Lin Du, M. N. S. Swamy

Erschienen in: Search and Optimization by Metaheuristics

Verlag: Springer International Publishing

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Abstract

Multiobjective optimization problems (MOPs) involve several conflicting objectives to be optimized simultaneously. The challenge is to find a Pareto set involving nondominated solutions that are evenly distributed along the Pareto Front. Metaheuristics for multiobjective optimization have been established as efficient approaches to solve MOPs.

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Vorheriges Kapitel Dynamic, Multimodal, and Constrained Optimizations
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Metadaten
Titel
Multiobjective Optimization
verfasst von
Ke-Lin Du
M. N. S. Swamy
Copyright-Jahr
2016
Buch
Search and Optimization by Metaheuristics

Print ISBN: 978-3-319-41191-0

Electronic ISBN: 978-3-319-41192-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-41192-7_23

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