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

TitleGenetic Algorithm for Restricted Maximum k-Satisfiability in the Hopfield Network
Publication TypeJournal Article
Year of Publication2016
AuthorsKasihmuddin, M. S. B. M., M. A. B. Mansor, and S. Sathasivam
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume4
Number2
Date Published12/2016
Pagination52-60
Abstract

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.

KeywordsGenetic Algorithms, Hopfield, K-satisfiability, Neural Network
DOI10.9781/ijimai.2016.429
URLhttp://www.ijimai.org/journal/sites/default/files/files/2016/11/ijimai20164_2_9_pdf_33484.pdf
AttachmentSize
IJIMAI20164_2_9.pdf551.77 KB