Massively Parallel Evolution of SAT Heuristics

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Alex S. Fukunaga",
  title =        "Massively Parallel Evolution of SAT Heuristics",
  booktitle =    "2009 IEEE Congress on Evolutionary Computation",
  year =         "2009",
  editor =       "Andy Tyrrell",
  pages =        "1478--1485",
  address =      "Trondheim, Norway",
  month =        "18-21 " # may,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-2959-2",
  file =         "P308.pdf",
  DOI =          "doi:10.1109/CEC.2009.4983117",
  size =         "8 pages",
  abstract =     "Recent work has shown that it is possible to evolve
                 heuristics for solving propositional satisfiability
                 (SAT) problems which are competitive with the best
                 hand-coded heuristics. However, previous work was
                 limited by the computational resources required in
                 order to evolve successful heuristics. In this paper,
                 we describe a massively parallel genetic programming
                 system for evolving SAT heuristics. Runs using up to
                 5.5 CPU core years of computation were executed, and
                 resulted in new SAT heuristics which significantly
                 outperform hand-coded heuristics.",
  keywords =     "genetic algorithms, genetic programming, STGP,
                 hyperheuristics, MPI",
  notes =        "up to a million fitness evaluations. pop=10000,100
                 gens. 8 percent reproduction. Sometimes used normal
                 (Koza like) crossover and mutation, in place of own SAT
                 composition operator. Complicated, stepped, fitness

                 CLASS, PCLASS. Compiled common lisp includes
                 S-expressions simplification and caching
                 subexpressions. Master-slave parallelism 720 2.83GHz
                 E5440 core Sun blade X6250 cluster (claims idle time
                 approx 2 percent). SAT/UNSAT phase transition mkcnf

                 CEC 2009 - A joint meeting of the IEEE, the EPS and the
                 IET. IEEE Catalog Number: CFP09ICE-CDR",

Genetic Programming entries for Alex S Fukunaga