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dc.contributor.authorKasihmuddin, Mohd Shareduwan Bin Mohd
dc.contributor.authorMansor, Mohd Asyraf Bin
dc.contributor.authorSathasivam, Saratha
dc.date2016-12
dc.date.accessioned2021-08-18T10:27:56Z
dc.date.available2021-08-18T10:27:56Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11702
dc.description.abstractThe restricted Maximum k-Satisfiability MAX- kSAT is an enhanced Boolean satisfiability counterpart that has attracted numerous amount of research. Genetic algorithm has been the prominent optimization heuristic algorithm to solve constraint optimization problem. The core motivation of this paper is to introduce Hopfield network incorporated with genetic algorithm in solving MAX-kSAT problem. Genetic algorithm will be integrated with Hopfield network as a single network. The proposed method will be compared with the conventional Hopfield network. The results demonstrate that Hopfield network with genetic algorithm outperforms conventional Hopfield networks. Furthermore, the outcome had provided a solid evidence of the robustness of our proposed algorithms to be used in other satisfiability problem.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 4, nº 2
dc.relation.urihttps://ijimai.org/journal/bibcite/reference/2581es_ES
dc.rightsopenAccesses_ES
dc.subjectgenetic algorithmses_ES
dc.subjectneural networkes_ES
dc.subjecthopfieldes_ES
dc.subjectK-satisfiabilityes_ES
dc.subjectIJIMAIes_ES
dc.titleGenetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Networkes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2016.429


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