Galván-López, Edgar and Rodríguez-Vázquez, Katya (2006) The Importance of Neutral Mutations in GP. Lecture Notes in Computer Science, 4193. pp. 870-879. ISSN 0302-9743

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Abstract

Understanding how neutrality works in EC systems has drawn increasing attention. However, some researchers have found neutrality to be beneficial for the evolutionary process while others have found it either useless or worse. We believe there are various reasons for these contradictory results: (a) many studies have based their conclusions using crossover and mutation as main operators rather than using only mutation (Kimura’s studies were done analysing only mutations) and, (b) studies often consider problems and representation with larger complexity. The aim of this paper is to analyse how neutral mutations tend to behave in GP and establish how important they are. For this purpose we introduce an approach which has two advantages: (a) it allows us to specify neutrality and, (b) this makes possible to understand how neutrality affects the evolutionary search process.

Item Type:	Article
Keywords:	Importance; Neutral Mutations; GP;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15437
Identification Number:	https://doi.org/10.1007/11844297_88
Depositing User:	Edgar Galvan
Date Deposited:	08 Feb 2022 13:37
Journal or Publication Title:	Lecture Notes in Computer Science
Publisher:	Springer Verlag
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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