Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023494037> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W2023494037 abstract "Because of non-existence of an ideal single solution in Multi-objective optimization frameworks, the set of optimal solutions is required to be well spread and uniformly covering wide area of Pareto front. The decision maker (DM) still work hard to compromise the trade-offs solutions based on his/her preferences. In this paper, we proposed a pruning algorithm that can filter out undesired solutions and provides more robust trade-offs solutions to the DM. Our algorithm is called adaptive angle based pruning algorithm with bias intensity tuning (ADA). The pruning rationale is increasing the dominated area for the purpose of removing solutions that only marginally improves in some objectives while being significantly worse in other objectives. The extra angles are expanded from the regular dominated area. The bias intensity parameter (W) is introduced in order to approximate the portions of desirable solutions based on DM's opinions. We chose several benchmark problems with different difficulties including two and three objectives problems. The experimental result has shown that our pruning algorithm provides robust sub-set of Pareto-optimal solutions on several benchmark problems. The pruned Pareto-optimal solutions distributed and covered multiple regions instead of single region of Pareto front. In addition, it's clearly shown in bi-objective problems that the pruned Pareto-optimal solutions are located at knee regions of the Pareto front." @default.
- W2023494037 created "2016-06-24" @default.
- W2023494037 creator A5025451422 @default.
- W2023494037 creator A5054874658 @default.
- W2023494037 date "2013-05-01" @default.
- W2023494037 modified "2023-09-25" @default.
- W2023494037 title "Pruning algorithm for Multi-objective optimization" @default.
- W2023494037 cites W1989773356 @default.
- W2023494037 cites W2000825106 @default.
- W2023494037 cites W2021776358 @default.
- W2023494037 cites W2044067286 @default.
- W2023494037 cites W2047156683 @default.
- W2023494037 cites W2077084443 @default.
- W2023494037 cites W2126105956 @default.
- W2023494037 doi "https://doi.org/10.1109/jcsse.2013.6567322" @default.
- W2023494037 hasPublicationYear "2013" @default.
- W2023494037 type Work @default.
- W2023494037 sameAs 2023494037 @default.
- W2023494037 citedByCount "2" @default.
- W2023494037 countsByYear W20234940372014 @default.
- W2023494037 countsByYear W20234940372022 @default.
- W2023494037 crossrefType "proceedings-article" @default.
- W2023494037 hasAuthorship W2023494037A5025451422 @default.
- W2023494037 hasAuthorship W2023494037A5054874658 @default.
- W2023494037 hasConcept C108010975 @default.
- W2023494037 hasConcept C11413529 @default.
- W2023494037 hasConcept C126255220 @default.
- W2023494037 hasConcept C154945302 @default.
- W2023494037 hasConcept C2987595161 @default.
- W2023494037 hasConcept C33923547 @default.
- W2023494037 hasConcept C41008148 @default.
- W2023494037 hasConcept C6557445 @default.
- W2023494037 hasConcept C86803240 @default.
- W2023494037 hasConceptScore W2023494037C108010975 @default.
- W2023494037 hasConceptScore W2023494037C11413529 @default.
- W2023494037 hasConceptScore W2023494037C126255220 @default.
- W2023494037 hasConceptScore W2023494037C154945302 @default.
- W2023494037 hasConceptScore W2023494037C2987595161 @default.
- W2023494037 hasConceptScore W2023494037C33923547 @default.
- W2023494037 hasConceptScore W2023494037C41008148 @default.
- W2023494037 hasConceptScore W2023494037C6557445 @default.
- W2023494037 hasConceptScore W2023494037C86803240 @default.
- W2023494037 hasLocation W20234940371 @default.
- W2023494037 hasOpenAccess W2023494037 @default.
- W2023494037 hasPrimaryLocation W20234940371 @default.
- W2023494037 hasRelatedWork W1843038572 @default.
- W2023494037 hasRelatedWork W1879310460 @default.
- W2023494037 hasRelatedWork W2275666876 @default.
- W2023494037 hasRelatedWork W2326122716 @default.
- W2023494037 hasRelatedWork W2351491280 @default.
- W2023494037 hasRelatedWork W2359495771 @default.
- W2023494037 hasRelatedWork W2386767533 @default.
- W2023494037 hasRelatedWork W303980170 @default.
- W2023494037 hasRelatedWork W3107474891 @default.
- W2023494037 hasRelatedWork W3120374695 @default.
- W2023494037 isParatext "false" @default.
- W2023494037 isRetracted "false" @default.
- W2023494037 magId "2023494037" @default.
- W2023494037 workType "article" @default.