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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Published in | Expert systems with applications Vol. 152; p. 113370 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
Elsevier Ltd
15.08.2020
Elsevier BV |
Subjects | |
Online Access | Get full text |
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