Some Steps Towards a Form of Parallel Distributed Genetic Programming

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

@InProceedings{poli:1996:WSC,
  author =       "R. Poli",
  title =        "Some Steps Towards a Form of Parallel Distributed
                 Genetic Programming",
  booktitle =    "The 1st Online Workshop on Soft Computing (WSC1)",
  year =         "1996",
  address =      "http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/",
  month =        "19--30 " # aug,
  organisation = "Research Group on ECOmp of the Society of Fuzzy Theory
                 and Systems (SOFT)",
  publisher =    "Nagoya University, Japan",
  keywords =     "genetic algorithms, genetic programming, parallel
                 programs, graphs, evolutionary computation",
  URL =          "ftp://ftp.cs.bham.ac.uk/pub/authors/R.Poli/wsc96.ps.gz",
  abstract =     "Genetic Programming is a method of program discovery
                 consisting of a special kind of genetic algorithm
                 capable of operating on non-linear chromosomes (parse
                 trees) representing programs and an interpreter which
                 can run the programs being optimised. This paper
                 describes PDGP (Parallel Distributed Genetic
                 Programming), a new form of genetic programming which
                 is suitable for the development of fine-grained
                 parallel programs. PDGP is based on a graph-like
                 representation for parallel programs which is
                 manipulated by crossover and mutation operators which
                 guarantee the syntactic correctness of the offspring.
                 The paper describes these operators and reports some
                 preliminary results obtained with this paradigm.",
  size =         "6 pages",
  notes =        "email WSC1 organisers
                 wsc@bioele.nuee.nagoya-u.ac.jp

                 Here PDGP was used to solve the even-3 parity problem.
                 Results were better than Koza's with a minimum effort
                 of 25,000 evals with one particular grid configuration,
                 and many grid configurations giving E<50,000",
}

Genetic Programming entries for Riccardo Poli

Citations