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dc.contributor.authorHill, Seamus
dc.contributor.authorO'Riordan, Colm
dc.date.accessioned2018-12-07T15:43:07Z
dc.date.available2018-12-07T15:43:07Z
dc.date.issued2011-06-05
dc.identifier.citationHill, Seamus, & O' Riordan, Colm. (2011). Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes. Paper presented at the 2011 IEEE Congress of Evolutionary Computation (CEC), New Orleans, LA, USA, 5-8 June, DOI: 10.1109/CEC.2011.5949780en_IE
dc.identifier.urihttp://hdl.handle.net/10379/14681
dc.description.abstractIn nature, living organisms can be viewed as the product of their genotype-phenotype mapping (GP-map). This paper presents a GP-map loosely based on the biological phe- nomena of transcription and translation, to create a multi-layered GP-map which increases the level of phenotypic variability. The aim of the paper is to examine through the use of a fixed non- trivial GP-map, the impact of increased phenotypic variability, on search over a set of deceptive landscapes. The GP-map allows for a non-injective genotype-phenotype relationship, and the phenotypic variability of a number of phenotypes, introduced by the GP-map, are advanced from the genotypes used to encode them through a basic interpretation of transcription and translation. We attempt to analyse the level of variability by measuring diversity, both at a genotypic and phenotypic level. The multi-layered GP-map is incorporated into a Genetic Algorithm, the multi-layered mapping GA (MMGA), and runs over a number of GA-Hard landscapes. Initial empirical results appear to indicate that over deceptive landscapes, as the level of problem difficulty increases, so too does the benefit of using the proposed GP-map to probe the search space.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherIEEEen_IE
dc.relation.ispartofCongress on Evolutionary Computation (CEC 2011)en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectGenetic Algorithmsen_IE
dc.subjectTranscriptionen_IE
dc.subjectTranslationen_IE
dc.subjectDeceptionen_IE
dc.titleExamining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapesen_IE
dc.typeConference Paperen_IE
dc.date.updated2018-12-05T16:31:31Z
dc.identifier.doi10.1109/CEC.2011.5949780
dc.local.publishedsourcehttps://dx.doi.org/10.1109/CEC.2011.5949780en_IE
dc.description.peer-reviewedpeer-reviewed
dc.internal.rssid1906740
dc.local.contactSéamus Hill, Information Technology. 5232 Email: seamus.hill@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland