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Authors: Seamus Hill and Colm O'Riordan

Affiliation: National University of Ireland, Ireland

ISBN: 978-989-758-157-1

Keyword(s): Neutral Theory, Genetic Drift, Neutrality, Genotype, Phenotype, Genetic Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Life ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: This paper examines the introduction of neutrality as proposed by Kimura (Kimura, 1968) into the genotype-phenotype mapping of a Genetic Algorithm (GA). The paper looks at the evolution of both a simple GA (SGA) and a multi-layered GA (MGA) incorporating a layered genotype-phenotype mapping based on the biological concepts of Transcription and Translation. Previous research in comparing GAs often use performance statistics; in this paper an analysis of population dynamics is used for comparison. Results illustrate that the MGA population’s evolution trajectory is quite different to that of the SGA population over dynamic landscapes and that the introduction of neutrality implicitly maintains genetic diversity within the population primarily through genetic drift in association with selection.

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Paper citation in several formats:
Hill, S. and O'Riordan, C. (2015). Examining the Impact of Neutral Theory on Genetic Algorithm Population Evolution.In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA, ISBN 978-989-758-157-1, pages 196-203. DOI: 10.5220/0005594301960203

@conference{ecta15,
author={Seamus Hill. and Colm O'Riordan.},
title={Examining the Impact of Neutral Theory on Genetic Algorithm Population Evolution},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,},
year={2015},
pages={196-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005594301960203},
isbn={978-989-758-157-1},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 1: ECTA,
TI - Examining the Impact of Neutral Theory on Genetic Algorithm Population Evolution
SN - 978-989-758-157-1
AU - Hill, S.
AU - O'Riordan, C.
PY - 2015
SP - 196
EP - 203
DO - 10.5220/0005594301960203

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