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dc.contributor.advisorO'Riordan, Colm
dc.contributor.authorHill, James
dc.date.accessioned2018-09-05T08:33:18Z
dc.date.available2018-09-05T08:33:18Z
dc.date.issued2017-12-05
dc.identifier.urihttp://hdl.handle.net/10379/10029
dc.description.abstractNature uses a complex genotype-phenotype map to advance a relatively simple genotype space variational topology to an extremely complex phenotypic variational topology. This dissertation introduces a modular, fixed non-trivial, multi-layered genotype-phenotype map, incorporating an interpretation of the biological processes of transcription and translation into the representation of a Genetic Algorithm (GA), thereby introducing a more flexible phenotypic structure and increasing connectivity. A series of experiments are conducted to examine the impact of the representation on variation and variability, with results indicating that through the inclusion of the proposed multi-layered mapping, only a small fraction of genotypic mutations are adaptive. Results also suggest that slowing genetic drift has an important part to play in the evolution of a population, allowing the representation to foster the creation of highly connected neutral networks, altering genetic drift and changing the evolutionary trajectory by inducing variability.en_IE
dc.publisherNUI Galway
dc.subjectGenetic Algorithmsen_IE
dc.subjectGenetic Representationen_IE
dc.subjectVariationen_IE
dc.subjectVariabilityen_IE
dc.subjectTranscriptionen_IE
dc.subjectTranslationen_IE
dc.subjectModularityen_IE
dc.subjectGenotype-Phenotype Mappingen_IE
dc.subjectComputer scienceen_IE
dc.subjectEngineering and Informaticsen_IE
dc.titleModularity, variation and variability in genetic representationen_IE
dc.typeThesisen
dc.local.finalYesen_IE
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