Multiobjective evolutionary algorithms: A survey of the state of the art

A multiobjective optimization problem involves several conflicting objectives and has a set of Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary algorithms (MOEAs) are able to approximate the Pareto optimal set in a single run. MOEAs have attracted a lot of...

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Vydané v:	Swarm and evolutionary computation Ročník 1; číslo 1; s. 32 - 49
Hlavní autori:	Zhou, Aimin, Qu, Bo-Yang, Li, Hui, Zhao, Shi-Zheng, Suganthan, Ponnuthurai Nagaratnam, Zhang, Qingfu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2011
Predmet:	Evolutionary multiobjective optimization Multicriteria decision making Multiobjective evolutionary algorithms Multiobjective optimization Multiobjective evolutionary algorithms Multicriteria decision making Multiobjective optimization Evolutionary multiobjective optimization
ISSN:	2210-6502
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