Dependable multi‐population improved brain storm optimization with differential evolution for optimal operational planning of energy plants

This paper proposes dependable multi‐population improved brain storm optimization with differential evolution for optimal operational planning of energy plants. The problem can be formulated as a mixed‐integer nonlinear programming problem and various evolutionary computation techniques such as part...

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Vydáno v:	Electrical engineering in Japan Ročník 207; číslo 4; s. 25 - 35
Hlavní autoři:	Arai, Kiyo, Fukuyama, Yoshikazu, Iizaka, Tatsuya, Matsui, Tetsuro
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken Wiley Subscription Services, Inc 01.06.2019
Témata:	brain storm optimization with differential evolution Computer networks Customer services Data centers dependability Distributed processing Energy costs Evolutionary computation mixed‐integer nonlinear programming problem multi‐population Nonlinear programming optimal operational planning of energy plant Particle swarm optimization Population Strategic planning
ISSN:	0424-7760, 1520-6416
On-line přístup:	Získat plný text
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