Entropy-Driven Adaptive Representation

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

  author =       "Justinian P. Rosca",
  title =        "Entropy-Driven Adaptive Representation",
  booktitle =    "Proceedings of the Workshop on Genetic Programming:
                 From Theory to Real-World Applications",
  year =         "1995",
  editor =       "Justinian P. Rosca",
  pages =        "23--32",
  address =      "Tahoe City, California, USA",
  month =        "9 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "ftp://ftp.cs.rochester.edu/pub/u/rosca/gp/95.ml.gpw.ps.gz",
  size =         "10 pages",
  abstract =     "In the first genetic programming (GP) book John Koza
                 noticed that fitness histograms give a highly
                 informative global view of the evolutionary process
                 [Koza, 1992]. The idea is further developed in this
                 paper by discussing GP evolution in analogy to a
                 physical system. I focus on three inter-related major
                 goals: (1) Study the the problem of search effort
                 allocation in GP; (2) Develop methods in the GA/GP
                 framework that allow adaptive control of diversity; (3)
                 Study ways of adaptation for faster convergence to
                 optimal solution. An entropy measure based on phenotype
                 classes is introduced which abstracts fitness
                 histograms. In this context, entropy represents a
                 measure of population diversity. An analysis of entropy
                 plots and their correlation with other statistics from
                 the population enables an intelligent adaptation of
                 search control.",
  notes =        "part of \cite{rosca:1995:ml} free energy. Shannon,
                 1949. Chaitin 1987. Brief discussion of second law of
                 thermodynamics in natural evolution of living

Genetic Programming entries for Justinian Rosca