Matches in SemOpenAlex for { <https://semopenalex.org/work/W3048009209> ?p ?o ?g. }
- W3048009209 endingPage "16" @default.
- W3048009209 startingPage "16" @default.
- W3048009209 abstract "Election algorithm (EA) is a novel metaheuristics optimization model motivated by phenomena of the socio-political mechanism of presidential election conducted in many countries. The capability and robustness EA in finding an optimal solution to optimization has been proven by various researchers. In this paper, modified version of EA has been utilized in accelerating the searching capacity of Hopfield neural network (HNN) learning phase for optimal random- k SAT logical representation (HNN-R 2 SATEA). The utility of the proposed approach has been contrasted with the current standard exhaustive search algorithm (HNN-R2SATES) and the newly developed algorithm HNN-R2SATICA. From the analysis obtained, it has been clearly shown that the proposed hybrid computational model HNN-R 2 SATEA outperformed other existing model in terms of global minima ratio (Zm), mean absolute error (MAE), Bayesian information criterion (BIC) and execution time (ET). The finding portrays that the MEA algorithm surpassed the other two algorithms for optimal random- k SAT logical representation." @default.
- W3048009209 created "2020-08-13" @default.
- W3048009209 creator A5003769294 @default.
- W3048009209 creator A5015607040 @default.
- W3048009209 creator A5022818861 @default.
- W3048009209 creator A5059482698 @default.
- W3048009209 date "2020-01-01" @default.
- W3048009209 modified "2023-10-05" @default.
- W3048009209 title "Modified election algorithm in hopfield neural network for optimal random<i>k</i>satisfiability representation" @default.
- W3048009209 cites W1460294274 @default.
- W3048009209 cites W1481397690 @default.
- W3048009209 cites W1597286183 @default.
- W3048009209 cites W1983572867 @default.
- W3048009209 cites W2010228425 @default.
- W3048009209 cites W2011332780 @default.
- W3048009209 cites W2023367191 @default.
- W3048009209 cites W2036265926 @default.
- W3048009209 cites W2101238551 @default.
- W3048009209 cites W2102791214 @default.
- W3048009209 cites W2104851354 @default.
- W3048009209 cites W2113680569 @default.
- W3048009209 cites W2167903638 @default.
- W3048009209 cites W2239461856 @default.
- W3048009209 cites W2332312474 @default.
- W3048009209 cites W2606000287 @default.
- W3048009209 cites W2730358929 @default.
- W3048009209 cites W2883260865 @default.
- W3048009209 cites W2899116309 @default.
- W3048009209 cites W2907580149 @default.
- W3048009209 cites W2921519656 @default.
- W3048009209 cites W2925826544 @default.
- W3048009209 cites W2964265541 @default.
- W3048009209 cites W2965236745 @default.
- W3048009209 cites W2971865141 @default.
- W3048009209 cites W2978005408 @default.
- W3048009209 cites W2995072003 @default.
- W3048009209 cites W3023975193 @default.
- W3048009209 cites W4214871172 @default.
- W3048009209 doi "https://doi.org/10.1051/smdo/2020008" @default.
- W3048009209 hasPublicationYear "2020" @default.
- W3048009209 type Work @default.
- W3048009209 sameAs 3048009209 @default.
- W3048009209 citedByCount "6" @default.
- W3048009209 countsByYear W30480092092020 @default.
- W3048009209 countsByYear W30480092092021 @default.
- W3048009209 countsByYear W30480092092023 @default.
- W3048009209 crossrefType "journal-article" @default.
- W3048009209 hasAuthorship W3048009209A5003769294 @default.
- W3048009209 hasAuthorship W3048009209A5015607040 @default.
- W3048009209 hasAuthorship W3048009209A5022818861 @default.
- W3048009209 hasAuthorship W3048009209A5059482698 @default.
- W3048009209 hasBestOaLocation W30480092091 @default.
- W3048009209 hasConcept C104317684 @default.
- W3048009209 hasConcept C11413529 @default.
- W3048009209 hasConcept C126255220 @default.
- W3048009209 hasConcept C134306372 @default.
- W3048009209 hasConcept C154945302 @default.
- W3048009209 hasConcept C17744445 @default.
- W3048009209 hasConcept C185592680 @default.
- W3048009209 hasConcept C186633575 @default.
- W3048009209 hasConcept C199539241 @default.
- W3048009209 hasConcept C2776359362 @default.
- W3048009209 hasConcept C33923547 @default.
- W3048009209 hasConcept C41008148 @default.
- W3048009209 hasConcept C50644808 @default.
- W3048009209 hasConcept C55493867 @default.
- W3048009209 hasConcept C63479239 @default.
- W3048009209 hasConcept C94625758 @default.
- W3048009209 hasConceptScore W3048009209C104317684 @default.
- W3048009209 hasConceptScore W3048009209C11413529 @default.
- W3048009209 hasConceptScore W3048009209C126255220 @default.
- W3048009209 hasConceptScore W3048009209C134306372 @default.
- W3048009209 hasConceptScore W3048009209C154945302 @default.
- W3048009209 hasConceptScore W3048009209C17744445 @default.
- W3048009209 hasConceptScore W3048009209C185592680 @default.
- W3048009209 hasConceptScore W3048009209C186633575 @default.
- W3048009209 hasConceptScore W3048009209C199539241 @default.
- W3048009209 hasConceptScore W3048009209C2776359362 @default.
- W3048009209 hasConceptScore W3048009209C33923547 @default.
- W3048009209 hasConceptScore W3048009209C41008148 @default.
- W3048009209 hasConceptScore W3048009209C50644808 @default.
- W3048009209 hasConceptScore W3048009209C55493867 @default.
- W3048009209 hasConceptScore W3048009209C63479239 @default.
- W3048009209 hasConceptScore W3048009209C94625758 @default.
- W3048009209 hasLocation W30480092091 @default.
- W3048009209 hasLocation W30480092092 @default.
- W3048009209 hasOpenAccess W3048009209 @default.
- W3048009209 hasPrimaryLocation W30480092091 @default.
- W3048009209 hasRelatedWork W136674370 @default.
- W3048009209 hasRelatedWork W2035564297 @default.
- W3048009209 hasRelatedWork W2052387497 @default.
- W3048009209 hasRelatedWork W2105527480 @default.
- W3048009209 hasRelatedWork W2354676191 @default.
- W3048009209 hasRelatedWork W2375684291 @default.
- W3048009209 hasRelatedWork W2909957174 @default.
- W3048009209 hasRelatedWork W3188646203 @default.
- W3048009209 hasRelatedWork W4320035781 @default.
- W3048009209 hasRelatedWork W4380087116 @default.