Matches in SemOpenAlex for { <https://semopenalex.org/work/W2274564650> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2274564650 abstract "Swarm intelligence is a major research field that contributed these last years to solve complex problems. In this paper, we show that bio-inspired approaches augmented with data mining techniques such as clustering, may bring more efficiency to problem solving. In fact, we aim at exploring judiciously the search space before seeking for solutions and hence reducing the complexity of the problem large instances. We consider for this purpose the approach of Bee Swarm Optimization BSO and propose two ways to integrate clustering in it. The first one consists in incorporating clustering in the design of BSO. This leads us to suggest an advanced version of BSO. The second one performs clustering on the data before launching BSO. This proposal was implemented for the satisfiability problem known widely as SAT. The complexity of the problem is reduced in this case by clustering clauses and hence variables and afterwards solving the clusters that have a smaller number of variables." @default.
- W2274564650 created "2016-06-24" @default.
- W2274564650 creator A5045715820 @default.
- W2274564650 creator A5059251419 @default.
- W2274564650 creator A5067637411 @default.
- W2274564650 date "2013-01-01" @default.
- W2274564650 modified "2023-09-28" @default.
- W2274564650 title "Swarm Intelligence with Clustering for Solving SAT" @default.
- W2274564650 cites W1504542257 @default.
- W2274564650 cites W1524216132 @default.
- W2274564650 cites W1549449731 @default.
- W2274564650 cites W1625328905 @default.
- W2274564650 cites W1787074469 @default.
- W2274564650 cites W2017127020 @default.
- W2274564650 cites W2017958169 @default.
- W2274564650 cites W2057266009 @default.
- W2274564650 cites W2057361103 @default.
- W2274564650 cites W2062897452 @default.
- W2274564650 doi "https://doi.org/10.1007/978-3-642-41278-3_71" @default.
- W2274564650 hasPublicationYear "2013" @default.
- W2274564650 type Work @default.
- W2274564650 sameAs 2274564650 @default.
- W2274564650 citedByCount "2" @default.
- W2274564650 countsByYear W22745646502015 @default.
- W2274564650 countsByYear W22745646502018 @default.
- W2274564650 crossrefType "book-chapter" @default.
- W2274564650 hasAuthorship W2274564650A5045715820 @default.
- W2274564650 hasAuthorship W2274564650A5059251419 @default.
- W2274564650 hasAuthorship W2274564650A5067637411 @default.
- W2274564650 hasConcept C119487961 @default.
- W2274564650 hasConcept C119857082 @default.
- W2274564650 hasConcept C124101348 @default.
- W2274564650 hasConcept C154945302 @default.
- W2274564650 hasConcept C181335050 @default.
- W2274564650 hasConcept C202444582 @default.
- W2274564650 hasConcept C33923547 @default.
- W2274564650 hasConcept C41008148 @default.
- W2274564650 hasConcept C6943359 @default.
- W2274564650 hasConcept C73555534 @default.
- W2274564650 hasConcept C80444323 @default.
- W2274564650 hasConcept C85617194 @default.
- W2274564650 hasConcept C9652623 @default.
- W2274564650 hasConceptScore W2274564650C119487961 @default.
- W2274564650 hasConceptScore W2274564650C119857082 @default.
- W2274564650 hasConceptScore W2274564650C124101348 @default.
- W2274564650 hasConceptScore W2274564650C154945302 @default.
- W2274564650 hasConceptScore W2274564650C181335050 @default.
- W2274564650 hasConceptScore W2274564650C202444582 @default.
- W2274564650 hasConceptScore W2274564650C33923547 @default.
- W2274564650 hasConceptScore W2274564650C41008148 @default.
- W2274564650 hasConceptScore W2274564650C6943359 @default.
- W2274564650 hasConceptScore W2274564650C73555534 @default.
- W2274564650 hasConceptScore W2274564650C80444323 @default.
- W2274564650 hasConceptScore W2274564650C85617194 @default.
- W2274564650 hasConceptScore W2274564650C9652623 @default.
- W2274564650 hasLocation W22745646501 @default.
- W2274564650 hasOpenAccess W2274564650 @default.
- W2274564650 hasPrimaryLocation W22745646501 @default.
- W2274564650 hasRelatedWork W1524216132 @default.
- W2274564650 hasRelatedWork W2017958169 @default.
- W2274564650 hasRelatedWork W2035969550 @default.
- W2274564650 hasRelatedWork W2066555182 @default.
- W2274564650 hasRelatedWork W2073239567 @default.
- W2274564650 hasRelatedWork W2114486000 @default.
- W2274564650 hasRelatedWork W2223782432 @default.
- W2274564650 hasRelatedWork W2560110823 @default.
- W2274564650 hasRelatedWork W2566328930 @default.
- W2274564650 hasRelatedWork W2599395215 @default.
- W2274564650 hasRelatedWork W2773954244 @default.
- W2274564650 hasRelatedWork W2884748462 @default.
- W2274564650 hasRelatedWork W2895811602 @default.
- W2274564650 hasRelatedWork W2948177177 @default.
- W2274564650 hasRelatedWork W2948512238 @default.
- W2274564650 hasRelatedWork W2970042523 @default.
- W2274564650 hasRelatedWork W389569003 @default.
- W2274564650 hasRelatedWork W61243662 @default.
- W2274564650 hasRelatedWork W187546542 @default.
- W2274564650 hasRelatedWork W2577147211 @default.
- W2274564650 isParatext "false" @default.
- W2274564650 isRetracted "false" @default.
- W2274564650 magId "2274564650" @default.
- W2274564650 workType "book-chapter" @default.