Matches in SemOpenAlex for { <https://semopenalex.org/work/W2902792372> ?p ?o ?g. }
- W2902792372 endingPage "132" @default.
- W2902792372 startingPage "119" @default.
- W2902792372 abstract "The hybridization of metaheuristics got a lot of interest lately. The crucial step lies in the choice of the hybrid methods. The major purpose is to make a tradeoff between exploitation and exploration concepts to create a more robust method. Hybrid metaheuristics are used as a solution to many optimization problems such as feature selection. In this paper we propose an hybridization between metaheuristics (PeSOA, FA, DE, AIS, BAT) for a best gene selection in microarray datasets. The main objective is to prove the efficiency of the proposed hybridization compared to the hybrid methods. The experimentations showed that PeSOA-C and HFA were competitive to their hybrid methods, on the other side, AIS-BAT was less promising compared to AIS. As results, we obtained a perfect 100% in case of Leukemia, Ovarian Cancer, Lymphoma and MLL-Leukemia datasets by the HFA hybridization with only 2%–4% of selected genes." @default.
- W2902792372 created "2018-12-11" @default.
- W2902792372 creator A5036568214 @default.
- W2902792372 creator A5063189101 @default.
- W2902792372 creator A5082597245 @default.
- W2902792372 date "2018-11-30" @default.
- W2902792372 modified "2023-10-17" @default.
- W2902792372 title "Gene Selection for Microarray Data Classification Using Hybrid Meta-Heuristics" @default.
- W2902792372 cites W1595159159 @default.
- W2902792372 cites W1727290854 @default.
- W2902792372 cites W1851861644 @default.
- W2902792372 cites W1892848734 @default.
- W2902792372 cites W1906176972 @default.
- W2902792372 cites W1984144394 @default.
- W2902792372 cites W2010133458 @default.
- W2902792372 cites W2019683663 @default.
- W2902792372 cites W2036949343 @default.
- W2902792372 cites W2056296562 @default.
- W2902792372 cites W2063681487 @default.
- W2902792372 cites W2084792706 @default.
- W2902792372 cites W2087684630 @default.
- W2902792372 cites W2091947792 @default.
- W2902792372 cites W2094023061 @default.
- W2902792372 cites W2096249757 @default.
- W2902792372 cites W2097413644 @default.
- W2902792372 cites W2108899349 @default.
- W2902792372 cites W2109363337 @default.
- W2902792372 cites W2128985829 @default.
- W2902792372 cites W2129659619 @default.
- W2902792372 cites W2134389439 @default.
- W2902792372 cites W2135361361 @default.
- W2902792372 cites W2137528583 @default.
- W2902792372 cites W2140020990 @default.
- W2902792372 cites W2143196848 @default.
- W2902792372 cites W2147246240 @default.
- W2902792372 cites W2149954962 @default.
- W2902792372 cites W2154053567 @default.
- W2902792372 cites W2168267759 @default.
- W2902792372 cites W2280214703 @default.
- W2902792372 cites W2318295100 @default.
- W2902792372 cites W2338849936 @default.
- W2902792372 cites W2346678167 @default.
- W2902792372 cites W2418850980 @default.
- W2902792372 cites W2460519793 @default.
- W2902792372 cites W2485161807 @default.
- W2902792372 cites W2516016683 @default.
- W2902792372 cites W2523529352 @default.
- W2902792372 cites W2525762567 @default.
- W2902792372 cites W2543701007 @default.
- W2902792372 cites W2585784318 @default.
- W2902792372 cites W2756254222 @default.
- W2902792372 cites W2963103847 @default.
- W2902792372 cites W4246697467 @default.
- W2902792372 cites W437595256 @default.
- W2902792372 doi "https://doi.org/10.1007/978-3-030-05481-6_9" @default.
- W2902792372 hasPublicationYear "2018" @default.
- W2902792372 type Work @default.
- W2902792372 sameAs 2902792372 @default.
- W2902792372 citedByCount "3" @default.
- W2902792372 countsByYear W29027923722020 @default.
- W2902792372 countsByYear W29027923722022 @default.
- W2902792372 crossrefType "book-chapter" @default.
- W2902792372 hasAuthorship W2902792372A5036568214 @default.
- W2902792372 hasAuthorship W2902792372A5063189101 @default.
- W2902792372 hasAuthorship W2902792372A5082597245 @default.
- W2902792372 hasConcept C104317684 @default.
- W2902792372 hasConcept C109718341 @default.
- W2902792372 hasConcept C111919701 @default.
- W2902792372 hasConcept C124101348 @default.
- W2902792372 hasConcept C124942203 @default.
- W2902792372 hasConcept C127705205 @default.
- W2902792372 hasConcept C141231307 @default.
- W2902792372 hasConcept C148483581 @default.
- W2902792372 hasConcept C150194340 @default.
- W2902792372 hasConcept C154945302 @default.
- W2902792372 hasConcept C186836561 @default.
- W2902792372 hasConcept C2984324147 @default.
- W2902792372 hasConcept C41008148 @default.
- W2902792372 hasConcept C54355233 @default.
- W2902792372 hasConcept C70721500 @default.
- W2902792372 hasConcept C81917197 @default.
- W2902792372 hasConcept C8415881 @default.
- W2902792372 hasConcept C86803240 @default.
- W2902792372 hasConceptScore W2902792372C104317684 @default.
- W2902792372 hasConceptScore W2902792372C109718341 @default.
- W2902792372 hasConceptScore W2902792372C111919701 @default.
- W2902792372 hasConceptScore W2902792372C124101348 @default.
- W2902792372 hasConceptScore W2902792372C124942203 @default.
- W2902792372 hasConceptScore W2902792372C127705205 @default.
- W2902792372 hasConceptScore W2902792372C141231307 @default.
- W2902792372 hasConceptScore W2902792372C148483581 @default.
- W2902792372 hasConceptScore W2902792372C150194340 @default.
- W2902792372 hasConceptScore W2902792372C154945302 @default.
- W2902792372 hasConceptScore W2902792372C186836561 @default.
- W2902792372 hasConceptScore W2902792372C2984324147 @default.
- W2902792372 hasConceptScore W2902792372C41008148 @default.
- W2902792372 hasConceptScore W2902792372C54355233 @default.
- W2902792372 hasConceptScore W2902792372C70721500 @default.