Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311129318> ?p ?o ?g. }
- W4311129318 endingPage "20" @default.
- W4311129318 startingPage "1" @default.
- W4311129318 abstract "Engineering optimization typically involves a large number of nonlinear constraints; therefore, effective constraint handling techniques (CHTs) are sought for metaheuristic optimization algorithms. Modified repair-based CHT is proposed here for a multi-objective evolutionary algorithm based on decomposition (MOEA/D). This CHT is: (1) adaptive to the share of infeasible solutions in a population; (2) free of problem-specific heuristics that users typically need to provide for repair; and (3) without control parameters. Infeasible solutions with superior decomposition function value are repaired using information contained in the neighbourhoods of the current population. The approach is tested on four multi-objective problems: a common mathematical optimization benchmark problem, two truss optimization problems and a real-world structural design of a tanker ship. A few prominent CHTs and metaheuristic algorithms are used for comparison. With the proposed CHT, MOEA/D shows improved convergence speed and spread of the Pareto front, providing competitive results in comparison to the other algorithms." @default.
- W4311129318 created "2022-12-23" @default.
- W4311129318 creator A5010862806 @default.
- W4311129318 creator A5032696365 @default.
- W4311129318 date "2022-12-02" @default.
- W4311129318 modified "2023-09-30" @default.
- W4311129318 title "Improved multi-objective structural optimization with adaptive repair-based constraint handling" @default.
- W4311129318 cites W167372353 @default.
- W4311129318 cites W1967526191 @default.
- W4311129318 cites W1981378365 @default.
- W4311129318 cites W1985102119 @default.
- W4311129318 cites W1992516430 @default.
- W4311129318 cites W2011882435 @default.
- W4311129318 cites W2027814067 @default.
- W4311129318 cites W2030585401 @default.
- W4311129318 cites W2030907279 @default.
- W4311129318 cites W2040790879 @default.
- W4311129318 cites W2049502709 @default.
- W4311129318 cites W2049862811 @default.
- W4311129318 cites W2069459355 @default.
- W4311129318 cites W2069541700 @default.
- W4311129318 cites W2071960131 @default.
- W4311129318 cites W2074084152 @default.
- W4311129318 cites W2093505886 @default.
- W4311129318 cites W2104324382 @default.
- W4311129318 cites W2106334424 @default.
- W4311129318 cites W2110368321 @default.
- W4311129318 cites W2126105956 @default.
- W4311129318 cites W2143381319 @default.
- W4311129318 cites W2174096823 @default.
- W4311129318 cites W2605842252 @default.
- W4311129318 cites W2735292160 @default.
- W4311129318 cites W2805320917 @default.
- W4311129318 cites W2884519572 @default.
- W4311129318 cites W2911539482 @default.
- W4311129318 cites W2914573700 @default.
- W4311129318 cites W2943528199 @default.
- W4311129318 cites W2944643215 @default.
- W4311129318 cites W2951843686 @default.
- W4311129318 cites W2963371534 @default.
- W4311129318 cites W2996006112 @default.
- W4311129318 cites W3003586727 @default.
- W4311129318 cites W3007598561 @default.
- W4311129318 cites W3013753775 @default.
- W4311129318 cites W3023716449 @default.
- W4311129318 cites W3036925570 @default.
- W4311129318 cites W3087509239 @default.
- W4311129318 cites W3110155053 @default.
- W4311129318 cites W3111713709 @default.
- W4311129318 cites W3124566288 @default.
- W4311129318 cites W3167591632 @default.
- W4311129318 cites W3181078230 @default.
- W4311129318 cites W3206780878 @default.
- W4311129318 cites W4239320354 @default.
- W4311129318 doi "https://doi.org/10.1080/0305215x.2022.2147518" @default.
- W4311129318 hasPublicationYear "2022" @default.
- W4311129318 type Work @default.
- W4311129318 citedByCount "1" @default.
- W4311129318 countsByYear W43111293182023 @default.
- W4311129318 crossrefType "journal-article" @default.
- W4311129318 hasAuthorship W4311129318A5010862806 @default.
- W4311129318 hasAuthorship W4311129318A5032696365 @default.
- W4311129318 hasConcept C109718341 @default.
- W4311129318 hasConcept C110850998 @default.
- W4311129318 hasConcept C124681953 @default.
- W4311129318 hasConcept C126255220 @default.
- W4311129318 hasConcept C127413603 @default.
- W4311129318 hasConcept C127705205 @default.
- W4311129318 hasConcept C13280743 @default.
- W4311129318 hasConcept C137635306 @default.
- W4311129318 hasConcept C137836250 @default.
- W4311129318 hasConcept C144024400 @default.
- W4311129318 hasConcept C149923435 @default.
- W4311129318 hasConcept C159149176 @default.
- W4311129318 hasConcept C162324750 @default.
- W4311129318 hasConcept C173534245 @default.
- W4311129318 hasConcept C185798385 @default.
- W4311129318 hasConcept C18903297 @default.
- W4311129318 hasConcept C205649164 @default.
- W4311129318 hasConcept C2524010 @default.
- W4311129318 hasConcept C2776036281 @default.
- W4311129318 hasConcept C2777303404 @default.
- W4311129318 hasConcept C2908647359 @default.
- W4311129318 hasConcept C33923547 @default.
- W4311129318 hasConcept C41008148 @default.
- W4311129318 hasConcept C50522688 @default.
- W4311129318 hasConcept C66938386 @default.
- W4311129318 hasConcept C68781425 @default.
- W4311129318 hasConcept C86803240 @default.
- W4311129318 hasConceptScore W4311129318C109718341 @default.
- W4311129318 hasConceptScore W4311129318C110850998 @default.
- W4311129318 hasConceptScore W4311129318C124681953 @default.
- W4311129318 hasConceptScore W4311129318C126255220 @default.
- W4311129318 hasConceptScore W4311129318C127413603 @default.
- W4311129318 hasConceptScore W4311129318C127705205 @default.
- W4311129318 hasConceptScore W4311129318C13280743 @default.
- W4311129318 hasConceptScore W4311129318C137635306 @default.
- W4311129318 hasConceptScore W4311129318C137836250 @default.