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Abstract: Parsimony pressure, the explicit penalization of larger programs, has been increasingly used as a means of controlling code growth in genetic programming. However, in many cases parsimony pressure degrades the performance of the genetic program. In this paper we show that poor average results with parsimony pressure are a result of "failed" populations that overshadow the results of populations that incorporate parsimony pressure successfully. Additionally, we show that the effect of... (Update)
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BibTeX entry: (Update)
T. Soule and J. A. Foster (1998). Effects of code growth and parsimony pressure on populations in genetic programming, Evolutionary Computation, 6(4):293-309. http://citeseer.ist.psu.edu/article/soule98effects.html More
@article{ soule98effects,
author = "Terence Soule and James A. Foster",
title = "Effects of Code Growth and Parsimony Pressure on Populations in Genetic Programming",
journal = "Evolutionary Computation",
volume = "6",
number = "4",
month = "Winter",
pages = "293--309",
year = "1998",
url = "citeseer.ist.psu.edu/article/soule98effects.html" }
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