| 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 |
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.