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dc.contributor.authorHill, Seamus
dc.contributor.authorO'Riordan, Colm
dc.date.accessioned2018-12-10T09:56:39Z
dc.date.available2018-12-10T09:56:39Z
dc.date.issued2010-08-24
dc.identifier.citationHill, Seamus , & O'Riordan, Colm (2010). genetic algorithm with a multi-layered genotype-phenotype mapping. Paper presented at the International Conference on Evolutionary Computation (ICEC 2010), Valencia, Spain, 24-26 October, In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010), pages 369-372. DOI: 10.5220/0003086203690372en_IE
dc.identifier.isbn978-989-8425-31-7
dc.identifier.urihttp://hdl.handle.net/10379/14682
dc.description.abstractIn this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers into the genotype-phenotype mapping is to create a many-to-one genotype-phenotype mapping. The paper compares a traditional GA with a GA containing a multi-layered genotype-phenotype mapping using a number of well understood problems in an attempt to illustrate the potential benefits of including the multilayered mapping. Initial findings suggest that the multi-layered mapping between the genotype-phenotype used in conjunction with a binary representation outperforms existing traditional GA approaches on well known problems, while still allowing the use well understood genetic operators.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherSciTePress Digital Libraryen_IE
dc.relation.ispartofInternational Conference on Evolutionary Computation (ICEC 2010)en
dc.subjectGenetic algorithmsen_IE
dc.subjectGenotypeen_IE
dc.subjectPhenotypeen_IE
dc.subjectDeceptionen_IE
dc.titleA genetic algorithm with a multi-layered genotype-phenotype mappingen_IE
dc.typeConference Paperen_IE
dc.date.updated2018-12-05T16:34:11Z
dc.identifier.doi10.5220/0003086203690372
dc.local.publishedsourcehttps://dx.doi.org/10.5220/0003086203690372en_IE
dc.description.peer-reviewedpeer-reviewed
dc.internal.rssid1912313
dc.local.contactSéamus Hill, Information Technology. 5232 Email: seamus.hill@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
nui.item.downloads78


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