Population Sizing for Entropy-based Model Building in Genetic Algorithms (2006)
BibTeX
@TECHREPORT{Kumara06populationsizing,
author = {Tian-Li Yu Kumara and Tian-li Yu and Tian-li Yu and Kumara Sastry and Kumara Sastry and David E. Goldberg and David E. Goldberg and Martin Pelikan and Martin Pelikan},
title = {Population Sizing for Entropy-based Model Building in Genetic Algorithms},
institution = {},
year = {2006}
}
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Abstract
This paper presents a population-sizing model for the entropy-based model building in genetic algorithms. Specifically, the population size required for building an accurate model is investigated. The e#ect of the selection pressure on population sizing is also incorporated. The proposed model indicates that the population size required for building an accurate model scales as #(m log m), where m is the number of substructures and proportional to the problem size. Experiments are conducted to verify the derivations, and the results agree with the proposed model
