A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems

Development of efficient multi-objective evolutionary algorithms (MOEAs) has provided effective tools to solve environmental/economic dispatch (EED) problems. EED is a highly constrained complex bi-objective optimization problem. Since 1990s, numerous publications have reported the applications of M...

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Veröffentlicht in:	Swarm and evolutionary computation Jg. 38; S. 1 - 11
Hauptverfasser:	Qu, B.Y., Zhu, Y.S., Jiao, Y.C., Wu, M.Y., Suganthan, P.N., Liang, J.J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2018
Schlagworte:	Electric vehicles Environmental economic dispatch (EED) Evolutionary algorithms (EAs) Multi-objective evolutionary algorithms (MOEAs) Multi-objective optimization Wind power Evolutionary algorithms (EAs) Electric vehicles Multi-objective optimization Multi-objective evolutionary algorithms (MOEAs) Wind power Environmental economic dispatch (EED)
ISSN:	2210-6502
Online-Zugang:	Volltext
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