DocumentCode
2328752
Title
Investigating mapping order in πGE
Author
Fagan, David ; Nicolau, Miguel ; O´Neill, Michael ; Galván-López, Edgar ; Brabazon, Anthony ; McGarraghy, Sean
Author_Institution
Comput. Sci. & Inf. Dept., Univ. Coll. Dublin, UCD, Dublin, Ireland
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
7
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 Grammatical Evolution (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 three 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.
Keywords
genetic algorithms; search problems; focused search; genotype-phenotype map; leftmost non terminal expansion; position independent grammatical evolution; Benchmark testing; Biological cells; Focusing; Grammar; Iron; Performance gain; Search problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6909-3
Type
conf
DOI
10.1109/CEC.2010.5586204
Filename
5586204
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