Parallel hybrid method for SAT that couples genetic algorithms and local search

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@Article{Folino:2001:ieeeTEVC,
  author =       "G. Folino and C. Pizzuti and G. Spezzano",
  title =        "Parallel hybrid method for {SAT} that couples genetic
                 algorithms and local search",
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2001",
  volume =       "5",
  number =       "4",
  pages =        "323--334",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1089-778X",
  DOI =          "doi:10.1109/4235.942527",
  abstract =     "A parallel hybrid method for solving the
                 satisfiability (SAT) problem that combines cellular
                 genetic algorithms (GAs) and the random walk SAT (WSAT)
                 strategy of greedy SAT (GSAT) is presented. The method,
                 called cellular genetic WSAT (CGWSAT), uses a cellular
                 GA to perform a global search from a random initial
                 population of candidate solutions and a local selective
                 generation of new strings. The global search is then
                 specialized in local search by adopting the WSAT
                 strategy. A main characteristic of the method is that
                 it indirectly provides a parallel implementation of
                 WSAT when the probability of crossover is set to zero.
                 CGWSAT has been implemented on a Meiko CS-2 parallel
                 machine using a 2D cellular automaton as a parallel
                 computation model. The algorithm has been tested on
                 randomly generated problems and some classes of
                 problems from the DIMACS and SATLIB test set",
  notes =        "also lnown as \cite{942527}",
}

Genetic Programming entries for Gianluigi Folino Clara Pizzuti Giandomenico Spezzano

Citations