Exact schema theorems for GP with one-point and standard crossover operating on linear structures and their application to the study of the evolution of size

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Abstract

In this paper, firstly we specialise the exact GP schema theorem for one-point crossover to the case of linear structures of variable length, for example binary strings or programs with arity-1 primitives only. Secondly, we extend this to an exact schema theorem for GP with standard crossover applicable to the case of linear structures. Then we study, both mathematically and numerically, the schema equations and their fixed points for infinite populations for both a constant and a length-related fitness function. This allows us to characterise the bias induced by standard crossover. This is very peculiar. In the case of a constant fitness function, at the fixed-point, structures of any length are present with non-zero probability. However, shorter structures are sampled exponentially much more frequently than longer ones.

Original languageEnglish (US)
Title of host publicationGenetic Programming - 4th European Conference, EuroGP 2001, Proceedings
EditorsJulian Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G.B. Tettamanzi, William B. Langdon
PublisherSpringer Verlag
Pages126-142
Number of pages17
ISBN (Electronic)3540418997, 9783540418993
DOIs
StatePublished - 2001
Event4th European Conference on Genetic Programming, EuroGP 2001 - Lake Como, Italy
Duration: Apr 18 2001Apr 20 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2038
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th European Conference on Genetic Programming, EuroGP 2001
Country/TerritoryItaly
CityLake Como
Period4/18/014/20/01

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