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dc.contributor.author Fagan, David
dc.contributor.author Nicolau, Miguel
dc.contributor.author O'Neill, Michael
dc.contributor.author Galván-López, Edgar
dc.contributor.author Brabazon, Anthony
dc.contributor.author McGarraghy, Sean
dc.date.accessioned 2010-11-24T15:01:41Z
dc.date.available 2010-11-24T15:01:41Z
dc.date.copyright 2010 IEEE en
dc.date.issued 2010-07
dc.identifier.uri http://hdl.handle.net/10197/2579
dc.description IEEE World Congress on Computational Intelligence, Barcelona, Spain, 18-23 July 2010 en
dc.description.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. en
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference details en
dc.description.uri http://www.wcci2010.org/ en
dc.format.extent 574350 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE en
dc.relation.ispartof Evolutionary Computation (CEC), 2010 IEEE Congress on [proceedings] en
dc.relation.requires CASL Research Collection en
dc.subject Grammatical evolution en
dc.subject Mapping order en
dc.subject Genetic programming en
dc.subject Evolutionary computation en
dc.subject.lcsh Genetic programming (Computer science) en
dc.subject.lcsh Evolutionary computation en
dc.title Investigating mapping order in πGE en
dc.title.alternative Investigating mapping order in PiGE en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://dx.doi.org/10.1109/CEC.2010.5586204 en
dc.status Peer reviewed en
dc.identifier.doi 10.1109/CEC.2010.5586204
dc.neeo.contributor Fagan|David|aut| en
dc.neeo.contributor Nicolau|Miguel|aut| en
dc.neeo.contributor O'Neill|Michael|aut| en
dc.neeo.contributor Galván-López|Edgar|aut| en
dc.neeo.contributor Brabazon|Anthony|aut| en
dc.neeo.contributor McGarraghy|Sean|aut| en
dc.description.othersponsorship National Digital Research Centre en
dc.description.admin ti ot ke ab - 24/11/10 RB en


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