Genetic Algorithms: Principles of Natural Selection Applied to Computation

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Article{Forrest13081993,
  author =       "Stephanie Forrest",
  title =        "Genetic Algorithms: Principles of Natural Selection
                 Applied to Computation",
  journal =      "Science",
  year =         "1993",
  volume =       "261",
  number =       "5123",
  pages =        "872--878",
  month =        "13 " # aug,
  keywords =     "genetic algorithms, genetic programming, automatic
                 programming",
  URL =          "http://www.sciencemag.org/content/261/5123/872.abstract",
  eprint =       "http://www.sciencemag.org/content/261/5123/872.full.pdf",
  DOI =          "doi:10.1126/science.8346439",
  size =         "8 pages",
  abstract =     "A genetic algorithm is a form of evolution that occurs
                 on a computer. Genetic algorithms are a search method
                 that can be used for both solving problems and
                 modelling evolutionary systems. With various mapping
                 techniques and an appropriate measure of fitness, a
                 genetic algorithm can be tailored to evolve a solution
                 for many types of problems, including optimisation of a
                 function of determination of the proper order of a
                 sequence. Mathematical analysis has begun to explain
                 how genetic algorithms work and how best to use them.
                 Recently, genetic algorithms have been used to model
                 several natural evolutionary systems, including immune
                 systems.",
  notes =        "Koza GP Lisp s-expression page 875

                 PMID: 8346439",
}

Genetic Programming entries for Stephanie Forrest

Citations