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  5. Investigation of the performance of different mapping orders for GE on the max problem
 
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Investigation of the performance of different mapping orders for GE on the max problem

Author(s)
Fagan, David  
Nicolau, Miguel  
Hemberg, Erik  
O'Neill, Michael  
Brabazon, Anthony  
McGarraghy, Sean  
Uri
http://hdl.handle.net/10197/3518
Date Issued
2011-04-27
Date Available
2012-02-21T17:05:05Z
Abstract
We present an analysis of how the genotype-phenotype map in Grammatical Evolution (GE) can effect performance on the Max Problem. Earlier studies have demonstrated a performance decrease for Position independent Grammatical Evolution (πGE ) in this problem domain. In πGE the genotype-phenotype map is changed so that the evolutionary algorithm controls not only what the next expansion will be but also the choice of what position in the derivation tree is expanded next. In this study we extend previous work and investigate whether the ability to change the order of expansion is responsible for the performance decrease or if the problem is simply that a certain order of expansion in the genotype-phenotype map is responsible. We conclude that the reduction of performance in the Max problem domain by πGE is rooted in the way the genotype-phenotype map and the genetic operators used with this mapping interact.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2011 Springer
Subjects

Grammatical evolution...

Genetic programming

Genotype-phenotype ma...

Subject – LCSH
Evolutionary computation
Genetic programming (Computer science)
DOI
10.1007/978-3-642-20407-4_25
Web versions
http://dx.doi.org/10.1007/978-3-642-20407-4_25
Language
English
Status of Item
Peer reviewed
Journal
Silva, S. et al. (eds.). Genetic Programming : 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. Proceedings
Conference Details
Paper presented at the 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011
ISBN
978-3-642-20406-7
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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fagan.pdf

Size

128.6 KB

Format

Adobe PDF

Checksum (MD5)

c84a95a4bd421ee8fd62d34d6936429f

Owning collection
Computer Science Research Collection
Mapped collections
CASL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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