2022
DOI: 10.2166/aqua.2022.174
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A novel self-adaptation and sorting selection-based differential evolutionary algorithm applied to water distribution system optimization

Abstract: A differential evolution (DE) algorithm has been demonstrated to be the most powerful evolutionary algorithm (EA) to optimally design water distribution systems (WDSs), but issues such as slow convergence speed, limited exploratory ability, and parameter adjustment remain when used for large-scale WDS optimization. This paper proposes a novel self-adaptation and sorting selection-based differential evolutionary (SA-SSDE) algorithm that can solve large-scale WDS optimization problems more efficiently while havi… Show more

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Cited by 3 publications
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References 39 publications
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