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An analysis of genotype-phenotype maps in grammatical evolution

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Author(s)
Fagan, David 
O'Neill, Michael 
Galván-López, Edgar 
Brabazon, Anthony 
McGarraghy, Sean 
Uri
http://hdl.handle.net/10197/2566
Date Issued
2010
Date Available
22T14:19:55Z November 2010
Abstract
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map adopted in GE is a depth-first expansion of the non-terminal symbols during the derivation sequence. Earlier studies have indicated that allowing the path of the expansion to be under the guidance of evolution as opposed to a de- terministic process produced significant performance gains on all of the benchmark problems analysed. In this study we extend this analysis to in- clude a breadth-first and random map, investigate additional benchmark problems, and take into consideration the implications of recent results on alternative grammar representations with this new evidence. We con- clude that it is possible to improve the performance of grammar-based Genetic Programming by the manner in which a genotype-phenotype map is performed.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2010 Springer-Verlag Berlin Heidelberg
Keywords
  • Grammatical evolution...

  • Genotype phenotype ma...

  • Genetic programming

  • Evolutionary computat...

  • Natural computing

Subject – LCSH
Genetic programming (Computer science)
Genetics
Evolutionary computation
Natural computation
DOI
10.1007/978-3-642-12148-7_6
Web versions
The final publication is available at www.springerlink.com/content/c3383k0p7017310g/
http://dx.doi.org/10.1007/978-3-642-12148-7_6
Language
English
Status of Item
Peer reviewed
Part of
Esparcia-Alcázar, A. I. et al. (eds.) Genetic Programming 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings
Description
European Conference on Genetic Programming, Istanbul Turkey, 7-9 April, 2010
ISBN
978-3-64212147-0
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
29
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Feb 7, 2023
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