Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{rosca:1995:entropy,
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
systems.",
}
Genetic Programming entries for Justinian Rosca