Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network

The 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...

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Main Authors: Mohd Shareduwan Bin Mohd Kasihmuddin, Mohd Asyraf Bin Mansor, Saratha Sathasivam
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2016-12-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Online Access:http://www.ijimai.org/journal/node/1447
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author Mohd Shareduwan Bin Mohd Kasihmuddin
Mohd Asyraf Bin Mansor
Saratha Sathasivam
author_facet Mohd Shareduwan Bin Mohd Kasihmuddin
Mohd Asyraf Bin Mansor
Saratha Sathasivam
author_sort Mohd Shareduwan Bin Mohd Kasihmuddin
collection DOAJ
description The 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.
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spelling doaj.art-5910960ad80e44d3a752dd72d51ffdf52022-12-22T01:30:36ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602016-12-0142526010.9781/ijimai.2016.4210ijimai.2016.4210Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield NetworkMohd Shareduwan Bin Mohd KasihmuddinMohd Asyraf Bin MansorSaratha SathasivamThe 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.http://www.ijimai.org/journal/node/1447Genetic AlgorithmsHopfieldK-satisfiabilityNeural Network
spellingShingle Mohd Shareduwan Bin Mohd Kasihmuddin
Mohd Asyraf Bin Mansor
Saratha Sathasivam
Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
International Journal of Interactive Multimedia and Artificial Intelligence
Genetic Algorithms
Hopfield
K-satisfiability
Neural Network
title Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
title_full Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
title_fullStr Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
title_full_unstemmed Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
title_short Genetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
title_sort genetic algorithm for restricted maximum k satisfiability in the hopfield network
topic Genetic Algorithms
Hopfield
K-satisfiability
Neural Network
url http://www.ijimai.org/journal/node/1447
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