FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293493084> ?p ?o ?g. }

• W4293493084 endingPage "1082" @default.
• W4293493084 startingPage "1068" @default.
• W4293493084 abstract "Abstract The 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 having the greater ability to explore global optimal solutions. The following two unique features enable the better performance of the proposed SA-SSDE algorithm: (1) the DE/current-to-pbest/n mutation and sorting selection operators are used to speed up the convergence and thus improve the optimization efficiency; (2) the parameter adaptation strategy in JADE (an adaptive differential evolution algorithm proposed by Zhang & Sanderson 2009) is introduced and modified to cater for WDS optimization, and it is capable of dynamically adapting the control parameters (i.e., F and CR values) to the fitness landscapes characteristic of larger-scale WDS optimization problems, allowing for greater exploratory ability. The proposed SA-SSDE algorithm found new best solutions of $7.068 million, €1.9205 million, and $30.852 million for three well-known large networks (ZJ164, Balerma454, and Rural476), having the convergence speed of 1.02, 1.92, and 5.99 times faster than the classic DE, respectively. Investigations into the searching behavior and the control parameter evolution during optimization are carried out, resulting in a better understanding of why the proposed SA-SSDE algorithm outperforms the classic DE, as well as the guidance for developing more advanced EAs." @default.
• W4293493084 created "2022-08-29" @default.
• W4293493084 creator A5003621926 @default.
• W4293493084 creator A5012264232 @default.
• W4293493084 creator A5036832196 @default.
• W4293493084 creator A5049761132 @default.
• W4293493084 creator A5054197563 @default.
• W4293493084 creator A5064979501 @default.
• W4293493084 creator A5067885446 @default.
• W4293493084 date "2022-08-29" @default.
• W4293493084 modified "2023-10-17" @default.
• W4293493084 title "A novel self-adaptation and sorting selection-based differential evolutionary algorithm applied to water distribution system optimization" @default.
• W4293493084 cites W1651775740 @default.
• W4293493084 cites W1888289137 @default.
• W4293493084 cites W1963617081 @default.
• W4293493084 cites W1974936730 @default.
• W4293493084 cites W1977023720 @default.
• W4293493084 cites W1997621454 @default.
• W4293493084 cites W2005921070 @default.
• W4293493084 cites W2018299061 @default.
• W4293493084 cites W2026497804 @default.
• W4293493084 cites W2028017445 @default.
• W4293493084 cites W2028173167 @default.
• W4293493084 cites W2037801859 @default.
• W4293493084 cites W2061705024 @default.
• W4293493084 cites W2066368882 @default.
• W4293493084 cites W2073172192 @default.
• W4293493084 cites W2077005348 @default.
• W4293493084 cites W2108750696 @default.
• W4293493084 cites W2124802184 @default.
• W4293493084 cites W2137340504 @default.
• W4293493084 cites W2155529731 @default.
• W4293493084 cites W2162145193 @default.
• W4293493084 cites W2166513470 @default.
• W4293493084 cites W2344803144 @default.
• W4293493084 cites W2536584652 @default.
• W4293493084 cites W2793258129 @default.
• W4293493084 cites W2961124296 @default.
• W4293493084 cites W2971689172 @default.
• W4293493084 cites W3047753017 @default.
• W4293493084 cites W3092111695 @default.
• W4293493084 cites W3094295819 @default.
• W4293493084 cites W3113295044 @default.
• W4293493084 cites W3205346198 @default.
• W4293493084 cites W3212792910 @default.
• W4293493084 cites W3216175045 @default.
• W4293493084 cites W4223593558 @default.
• W4293493084 cites W4280654340 @default.
• W4293493084 cites W3107341728 @default.
• W4293493084 doi "https://doi.org/10.2166/aqua.2022.174" @default.
• W4293493084 hasPublicationYear "2022" @default.
• W4293493084 type Work @default.
• W4293493084 citedByCount "2" @default.
• W4293493084 countsByYear W42934930842023 @default.
• W4293493084 crossrefType "journal-article" @default.
• W4293493084 hasAuthorship W4293493084A5003621926 @default.
• W4293493084 hasAuthorship W4293493084A5012264232 @default.
• W4293493084 hasAuthorship W4293493084A5036832196 @default.
• W4293493084 hasAuthorship W4293493084A5049761132 @default.
• W4293493084 hasAuthorship W4293493084A5054197563 @default.
• W4293493084 hasAuthorship W4293493084A5064979501 @default.
• W4293493084 hasAuthorship W4293493084A5067885446 @default.
• W4293493084 hasBestOaLocation W42934930841 @default.
• W4293493084 hasConcept C111696304 @default.
• W4293493084 hasConcept C11413529 @default.
• W4293493084 hasConcept C120665830 @default.
• W4293493084 hasConcept C121332964 @default.
• W4293493084 hasConcept C126255220 @default.
• W4293493084 hasConcept C137836250 @default.
• W4293493084 hasConcept C139807058 @default.
• W4293493084 hasConcept C154945302 @default.
• W4293493084 hasConcept C159149176 @default.
• W4293493084 hasConcept C162324750 @default.
• W4293493084 hasConcept C2777303404 @default.
• W4293493084 hasConcept C33923547 @default.
• W4293493084 hasConcept C41008148 @default.
• W4293493084 hasConcept C50522688 @default.
• W4293493084 hasConcept C74750220 @default.
• W4293493084 hasConcept C81917197 @default.
• W4293493084 hasConceptScore W4293493084C111696304 @default.
• W4293493084 hasConceptScore W4293493084C11413529 @default.
• W4293493084 hasConceptScore W4293493084C120665830 @default.
• W4293493084 hasConceptScore W4293493084C121332964 @default.
• W4293493084 hasConceptScore W4293493084C126255220 @default.
• W4293493084 hasConceptScore W4293493084C137836250 @default.
• W4293493084 hasConceptScore W4293493084C139807058 @default.
• W4293493084 hasConceptScore W4293493084C154945302 @default.
• W4293493084 hasConceptScore W4293493084C159149176 @default.
• W4293493084 hasConceptScore W4293493084C162324750 @default.
• W4293493084 hasConceptScore W4293493084C2777303404 @default.
• W4293493084 hasConceptScore W4293493084C33923547 @default.
• W4293493084 hasConceptScore W4293493084C41008148 @default.
• W4293493084 hasConceptScore W4293493084C50522688 @default.
• W4293493084 hasConceptScore W4293493084C74750220 @default.
• W4293493084 hasConceptScore W4293493084C81917197 @default.
• W4293493084 hasFunder F4320321001 @default.
• W4293493084 hasFunder F4320336602 @default.
• W4293493084 hasIssue "9" @default.

• next