Adaptive populations of endogenously diversifying Pushpop organisms are reliably diverse

Created by W.Langdon from gp-bibliography.bib Revision:1.4128

@InProceedings{Spector:2002:alife,
  author =       "Lee Spector",
  title =        "Adaptive populations of endogenously diversifying
                 Pushpop organisms are reliably diverse",
  booktitle =    "Proceedings of Artificial Life VIII, the 8th
                 International Conference on the Simulation and
                 Synthesis of Living Systems",
  year =         "2002",
  editor =       "Russell K. Standish and Mark A. Bedau and 
                 Hussein A. Abbass",
  pages =        "142--145",
  address =      "University of New South Wales, Sydney, NSW,
                 Australia",
  publisher_address = "Cambridge, MA, USA",
  month =        "9th-13th " # dec,
  publisher =    "The MIT Press",
  keywords =     "genetic algorithms, genetic programming, pushpop",
  URL =          "http://hampshire.edu/lspector/pubs/spector-alife8.pdf",
  URL =          "http://www.alife.org/alife8/proceedings/sub962.pdf",
  size =         "4 pages",
  abstract =     "We discuss the evolution of diversifying reproduction.
                 We measured the average difference between mothers and
                 their children, the number of species, and the degree
                 of adaptation in evolving populations of endogenously
                 diversifying digital organisms using the Pushpop
                 system. The data show that the number of species in
                 adaptive populations is higher than in non-adaptive
                 populations, while the variance in the differences
                 between mothers and their children is less for adaptive
                 populations than for non-adaptive populations. In other
                 words, in adaptive populations the species were more
                 numerous and the diversification processes were more
                 reliable.",
  notes =        "pop 1024, 2048 generations. Integer symbolic
                 regresion. Max prog size 64. No cloning. geneotypic
                 distance estimated in population",
}

Genetic Programming entries for Lee Spector

Citations