Matches in SemOpenAlex for { <https://semopenalex.org/work/W2802906688> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2802906688 endingPage "319" @default.
- W2802906688 startingPage "304" @default.
- W2802906688 abstract "Abstract In this paper, we propose an adaptive multi-objective evolutionary algorithm for multi-objective optimization problems (MOPs). In the algorithm, a clustering approach is employed to learn the Pareto optimal set's manifold structure adaptively, in accordance with the regularity property of MOPs, along the evolution. An advanced sampling strategy is developed for the generation of promising offspring from the learned structure. To generate trial solution, each non-dominated solution at present generation is Gaussian-perturbed using the variance-covariance matrix within its cluster. The other new features include 1) an adaptive hybridization of the developed sampling strategy with a differential evolution (DE) operator which aims to combine local and global information; 2) a reusing scheme which is to reduce the computational cost on modeling (clustering); and 3) an adaptive strength Pareto based approach which is to adaptively determine the contribution of the developed sampling strategy and the DE operator for balancing exploration and exploitation. The developed algorithm was empirically compared with four well-known MOEAs on a number of test instances with complex Pareto optimal set structure and complicated Pareto fronts. Experimental results suggest that it outperforms the compared algorithms on these test instances in terms of two commonly-used measure metrics. The effectiveness of the developed sampling strategy, the reusing scheme, the hybrid strategy, and the adaptive strategy was also empirically validated." @default.
- W2802906688 created "2018-05-17" @default.
- W2802906688 creator A5000546219 @default.
- W2802906688 creator A5005474942 @default.
- W2802906688 creator A5013257478 @default.
- W2802906688 creator A5033390566 @default.
- W2802906688 creator A5050248676 @default.
- W2802906688 date "2019-02-01" @default.
- W2802906688 modified "2023-10-17" @default.
- W2802906688 title "A new learning-based adaptive multi-objective evolutionary algorithm" @default.
- W2802906688 cites W1595159159 @default.
- W2802906688 cites W1967157470 @default.
- W2802906688 cites W1987549061 @default.
- W2802906688 cites W2013279402 @default.
- W2802906688 cites W2015772998 @default.
- W2802906688 cites W2020320008 @default.
- W2802906688 cites W2020372696 @default.
- W2802906688 cites W2021409956 @default.
- W2802906688 cites W2022485595 @default.
- W2802906688 cites W2030255339 @default.
- W2802906688 cites W2038420231 @default.
- W2802906688 cites W2056624909 @default.
- W2802906688 cites W2058142975 @default.
- W2802906688 cites W2075170310 @default.
- W2802906688 cites W2078324766 @default.
- W2802906688 cites W2098090548 @default.
- W2802906688 cites W2098907614 @default.
- W2802906688 cites W2105245738 @default.
- W2802906688 cites W2106334424 @default.
- W2802906688 cites W2108968575 @default.
- W2802906688 cites W2109865546 @default.
- W2802906688 cites W2112912151 @default.
- W2802906688 cites W2116961716 @default.
- W2802906688 cites W2126105956 @default.
- W2802906688 cites W2140886193 @default.
- W2802906688 cites W2146216407 @default.
- W2802906688 cites W2150046657 @default.
- W2802906688 cites W2150980236 @default.
- W2802906688 cites W2151554678 @default.
- W2802906688 cites W2516241681 @default.
- W2802906688 doi "https://doi.org/10.1016/j.swevo.2018.04.009" @default.
- W2802906688 hasPublicationYear "2019" @default.
- W2802906688 type Work @default.
- W2802906688 sameAs 2802906688 @default.
- W2802906688 citedByCount "31" @default.
- W2802906688 countsByYear W28029066882019 @default.
- W2802906688 countsByYear W28029066882020 @default.
- W2802906688 countsByYear W28029066882021 @default.
- W2802906688 countsByYear W28029066882022 @default.
- W2802906688 countsByYear W28029066882023 @default.
- W2802906688 crossrefType "journal-article" @default.
- W2802906688 hasAuthorship W2802906688A5000546219 @default.
- W2802906688 hasAuthorship W2802906688A5005474942 @default.
- W2802906688 hasAuthorship W2802906688A5013257478 @default.
- W2802906688 hasAuthorship W2802906688A5033390566 @default.
- W2802906688 hasAuthorship W2802906688A5050248676 @default.
- W2802906688 hasConcept C11413529 @default.
- W2802906688 hasConcept C119857082 @default.
- W2802906688 hasConcept C154945302 @default.
- W2802906688 hasConcept C159149176 @default.
- W2802906688 hasConcept C41008148 @default.
- W2802906688 hasConceptScore W2802906688C11413529 @default.
- W2802906688 hasConceptScore W2802906688C119857082 @default.
- W2802906688 hasConceptScore W2802906688C154945302 @default.
- W2802906688 hasConceptScore W2802906688C159149176 @default.
- W2802906688 hasConceptScore W2802906688C41008148 @default.
- W2802906688 hasFunder F4320321001 @default.
- W2802906688 hasLocation W28029066881 @default.
- W2802906688 hasOpenAccess W2802906688 @default.
- W2802906688 hasPrimaryLocation W28029066881 @default.
- W2802906688 hasRelatedWork W2961085424 @default.
- W2802906688 hasRelatedWork W4223456145 @default.
- W2802906688 hasRelatedWork W4229568052 @default.
- W2802906688 hasRelatedWork W4235367588 @default.
- W2802906688 hasRelatedWork W4237634094 @default.
- W2802906688 hasRelatedWork W4247102092 @default.
- W2802906688 hasRelatedWork W4286629047 @default.
- W2802906688 hasRelatedWork W4306321456 @default.
- W2802906688 hasRelatedWork W4306674287 @default.
- W2802906688 hasRelatedWork W4224009465 @default.
- W2802906688 hasVolume "44" @default.
- W2802906688 isParatext "false" @default.
- W2802906688 isRetracted "false" @default.
- W2802906688 magId "2802906688" @default.
- W2802906688 workType "article" @default.