Literature DB >> 11911782

Evolutionary algorithms for the satisfiability problem.

Jens Gottlieb1, Elena Marchiori, Claudio Rossi.   

Abstract

Several evolutionary algorithms have been proposed for the satisfiability problem. We review the solution representations suggested in literature and choose the most promising one - the bit string representation - for further evaluation. An empirical comparison on commonly used benchmarks is presented for the most successful evolutionary algorithms and for WSAT, a prominent local search algorithm for the satisfiability problem. The key features of successful evolutionary algorithms are identified, thereby providing useful methodological guidelines for designing new heuristics. Our results indicate that evolutionary algorithms are competitive to WSAT.

Mesh:

Year:  2002        PMID: 11911782     DOI: 10.1162/106365602317301763

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


  1 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

  1 in total

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