An improved quantum particle swarm optimization algorithm for environmental economic dispatch

•We consider both fuel costs and emissions, and find the best compromise value.•We introduce differential evolution operator into quantum particle swarm optimization (QPSO).•We introduce crossover operator into quantum particle swarm optimization (QPSO).•Adaptive control is adopted for crossover pro...

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Bibliographic Details
Published inExpert systems with applications Vol. 152; p. 113370
Main Authors Xin-gang, Zhao, Ji, Liang, Jin, Meng, Ying, Zhou
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 15.08.2020
Elsevier BV
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