Literature DB >> 16831107

GASAT: a genetic local search algorithm for the satisfiability problem.

Frédéric Lardeux1, Frédéric Saubion, Jin-Kao Hao.   

Abstract

This paper presents GASAT, a hybrid algorithm for the satisfiability problem (SAT). The main feature of GASAT is that it includes a recombination stage based on a specific crossover and a tabu search stage. We have conducted experiments to evaluate the different components of GASAT and to compare its overall performance with state-of-the-art SAT algorithms. These experiments show that GASAT provides very competitive results.

Mesh:

Year:  2006        PMID: 16831107     DOI: 10.1162/evco.2006.14.2.223

Source DB:  PubMed          Journal:  Evol Comput        ISSN: 1063-6560            Impact factor:   3.277


  2 in total

1.  A comparative runtime analysis of heuristic algorithms for satisfiability problems.

Authors:  Yuren Zhou; Jun He; Qing Nie
Journal:  Artif Intell       Date:  2009-02       Impact factor: 9.088

2.  A variable neighborhood Walksat-based algorithm for MAX-SAT problems.

Authors:  Noureddine Bouhmala
Journal:  ScientificWorldJournal       Date:  2014-08-06
  2 in total

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