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Investigating mapping order in πGE
Alternative Title
Investigating mapping order in PiGE
Date Issued
2010-07
Date Available
2010-11-24T15:01:41Z
Abstract
We present an investigation into the genotype-phenotype map in Position Independent Grammatical Evolution (πGE). Previous studies have shown πGE to exhibit a performance increase over standard GE. The only difference between the two approaches is in how the genotype-phenotype mapping process is performed. GE uses a leftmost non terminal expansion, while πGE evolves the order of mapping as well as the content. In this study, we use the idea of focused search to examine which aspect of the πGE mapping process provides the lift in performance over standard GE by applying our approaches to four benchmark problems taken from specialised literature. We examined the traditional πGE approach and compared it to two setups which examined the extremes of mapping order search and content search, and against setups with varying ratios of content and order search. In all of these tests a purely content focused πGE was shown to exhibit a performance gain over the other setups.
Sponsorship
Science Foundation Ireland
Other Sponsorship
National Digital Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2010 IEEE
Subject – LCSH
Genetic programming (Computer science)
Evolutionary computation
Web versions
Language
English
Status of Item
Peer reviewed
Journal
Evolutionary Computation (CEC), 2010 IEEE Congress on [proceedings]
Conference Details
IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July 2010
This item is made available under a Creative Commons License
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Investigating Mapping.pdf
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560.89 KB
Format
Adobe PDF
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