dc.contributor.author | Hill, Seamus | |
dc.contributor.author | O'Riordan, Colm | |
dc.date.accessioned | 2018-12-07T15:43:07Z | |
dc.date.available | 2018-12-07T15:43:07Z | |
dc.date.issued | 2011-06-05 | |
dc.identifier.citation | Hill, 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.2011.5949780 | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/14681 | |
dc.description.abstract | In 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.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | IEEE | en_IE |
dc.relation.ispartof | Congress on Evolutionary Computation (CEC 2011) | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Genetic Algorithms | en_IE |
dc.subject | Transcription | en_IE |
dc.subject | Translation | en_IE |
dc.subject | Deception | en_IE |
dc.title | Examining the use of a non-trivial fixed genotype-phenotype mapping in genetic algorithms to induce phenotypic variability over deceptive uncertain landscapes | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2018-12-05T16:31:31Z | |
dc.identifier.doi | 10.1109/CEC.2011.5949780 | |
dc.local.publishedsource | https://dx.doi.org/10.1109/CEC.2011.5949780 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.internal.rssid | 1906740 | |
dc.local.contact | Séamus Hill, Information Technology. 5232 Email: seamus.hill@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | ACCEPTED | |
nui.item.downloads | 298 | |