Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016121470> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2016121470 abstract "Multi-Objective Evolutionary Algorithm (MOEA) is a leader framework to solve multi-objective optimization problems due to its capability of obtaining a set of compromise solutions in a single run. Most of MOEAs try to converge to the Pareto optimal front in purpose of maintaining the population diversity in the objective space. Here, we are going to present a novel MOEA for enhancing the population diversity of non-dominated vectors in the solution space. In this paper, a novel approach, which is inspired from geometrical information of candidate solutions, is proposed to adopt the innovative clustering-based scheme during the optimization cycle. This approach intends to obtain more diverse and well-distributed non-dominated vectors (i.e. Pareto-set) in the solution space. The present work is applied to a wide range of well established test problems. The obtained results validate the motivation on the basis of diversity and performance measures in comparison to state of the art algorithms." @default.
- W2016121470 created "2016-06-24" @default.
- W2016121470 creator A5000418716 @default.
- W2016121470 creator A5022739916 @default.
- W2016121470 creator A5042812349 @default.
- W2016121470 creator A5054447317 @default.
- W2016121470 date "2012-05-01" @default.
- W2016121470 modified "2023-09-27" @default.
- W2016121470 title "A Multi-Objective Evolutionary Algorithm based on complete-linkage clustering to enhance the solution space diversity" @default.
- W2016121470 cites W1525375343 @default.
- W2016121470 cites W1582055249 @default.
- W2016121470 cites W1588375755 @default.
- W2016121470 cites W1606852530 @default.
- W2016121470 cites W1947771597 @default.
- W2016121470 cites W2038420231 @default.
- W2016121470 cites W2051947720 @default.
- W2016121470 cites W2092788856 @default.
- W2016121470 cites W2105899518 @default.
- W2016121470 cites W2106334424 @default.
- W2016121470 cites W2116961716 @default.
- W2016121470 cites W2117411467 @default.
- W2016121470 cites W2125899728 @default.
- W2016121470 cites W2126105956 @default.
- W2016121470 cites W2133275519 @default.
- W2016121470 cites W2153654820 @default.
- W2016121470 cites W2158320871 @default.
- W2016121470 cites W225560312 @default.
- W2016121470 doi "https://doi.org/10.1109/aisp.2012.6313731" @default.
- W2016121470 hasPublicationYear "2012" @default.
- W2016121470 type Work @default.
- W2016121470 sameAs 2016121470 @default.
- W2016121470 citedByCount "3" @default.
- W2016121470 countsByYear W20161214702016 @default.
- W2016121470 countsByYear W20161214702021 @default.
- W2016121470 crossrefType "proceedings-article" @default.
- W2016121470 hasAuthorship W2016121470A5000418716 @default.
- W2016121470 hasAuthorship W2016121470A5022739916 @default.
- W2016121470 hasAuthorship W2016121470A5042812349 @default.
- W2016121470 hasAuthorship W2016121470A5054447317 @default.
- W2016121470 hasConcept C105902424 @default.
- W2016121470 hasConcept C111919701 @default.
- W2016121470 hasConcept C11413529 @default.
- W2016121470 hasConcept C126255220 @default.
- W2016121470 hasConcept C137635306 @default.
- W2016121470 hasConcept C137836250 @default.
- W2016121470 hasConcept C144024400 @default.
- W2016121470 hasConcept C149923435 @default.
- W2016121470 hasConcept C154945302 @default.
- W2016121470 hasConcept C159149176 @default.
- W2016121470 hasConcept C177264268 @default.
- W2016121470 hasConcept C199360897 @default.
- W2016121470 hasConcept C2778572836 @default.
- W2016121470 hasConcept C2908647359 @default.
- W2016121470 hasConcept C33923547 @default.
- W2016121470 hasConcept C41008148 @default.
- W2016121470 hasConcept C60033838 @default.
- W2016121470 hasConcept C68781425 @default.
- W2016121470 hasConcept C73555534 @default.
- W2016121470 hasConceptScore W2016121470C105902424 @default.
- W2016121470 hasConceptScore W2016121470C111919701 @default.
- W2016121470 hasConceptScore W2016121470C11413529 @default.
- W2016121470 hasConceptScore W2016121470C126255220 @default.
- W2016121470 hasConceptScore W2016121470C137635306 @default.
- W2016121470 hasConceptScore W2016121470C137836250 @default.
- W2016121470 hasConceptScore W2016121470C144024400 @default.
- W2016121470 hasConceptScore W2016121470C149923435 @default.
- W2016121470 hasConceptScore W2016121470C154945302 @default.
- W2016121470 hasConceptScore W2016121470C159149176 @default.
- W2016121470 hasConceptScore W2016121470C177264268 @default.
- W2016121470 hasConceptScore W2016121470C199360897 @default.
- W2016121470 hasConceptScore W2016121470C2778572836 @default.
- W2016121470 hasConceptScore W2016121470C2908647359 @default.
- W2016121470 hasConceptScore W2016121470C33923547 @default.
- W2016121470 hasConceptScore W2016121470C41008148 @default.
- W2016121470 hasConceptScore W2016121470C60033838 @default.
- W2016121470 hasConceptScore W2016121470C68781425 @default.
- W2016121470 hasConceptScore W2016121470C73555534 @default.
- W2016121470 hasLocation W20161214701 @default.
- W2016121470 hasOpenAccess W2016121470 @default.
- W2016121470 hasPrimaryLocation W20161214701 @default.
- W2016121470 hasRelatedWork W1536531504 @default.
- W2016121470 hasRelatedWork W2057420054 @default.
- W2016121470 hasRelatedWork W2088622475 @default.
- W2016121470 hasRelatedWork W2100916763 @default.
- W2016121470 hasRelatedWork W2104456211 @default.
- W2016121470 hasRelatedWork W2129773030 @default.
- W2016121470 hasRelatedWork W2134493171 @default.
- W2016121470 hasRelatedWork W2292688905 @default.
- W2016121470 hasRelatedWork W2913808976 @default.
- W2016121470 hasRelatedWork W4313549011 @default.
- W2016121470 isParatext "false" @default.
- W2016121470 isRetracted "false" @default.
- W2016121470 magId "2016121470" @default.
- W2016121470 workType "article" @default.