Neutrality in evolutionary algorithms... what do we know?

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Title: Neutrality in evolutionary algorithms... what do we know?
Authors: Galván-López, EdgarPoli, RiccardoKattan, AhmedO'Neill, MichaelBrabazon, Anthony
Permanent link: http://hdl.handle.net/10197/3532
Date: 2-Mar-2011
Online since: 2012-02-23T12:28:33Z
Abstract: Over the last years, the effects of neutrality have attracted the attention of many researchers in the Evolutionary Algorithms (EAs) community. A mutation from one gene to another is considered as neutral if this modification does not affect the phenotype. This article provides a general overview on the work carried out on neutrality in EAs. Using as a framework the origin of neutrality and its study in different paradigms of EAs (e.g., Genetic Algorithms, Genetic Programming), we discuss the most significant works and findings on this topic. This work points towards open issues, which the community needs to address.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Springer
Journal: Evolving Systems
Volume: 2
Issue: 3
Start page: 145
End page: 163
Copyright (published version): 2011 Springer
Keywords: NeutralityPhenotypic mutation ratesProblem hardnessGenotype-Phenotype MappingsEvolutionary algorithms
Subject LCSH: Genetic algorithms--Research
Genetic programming (Computer science)--Research
DOI: 10.1007/s12530-011-9030-5
Other versions: http://dx.doi.org/10.1007/s12530-011-9030-5
Language: en
Status of Item: Peer reviewed
ISSN: 1868-6478 (Print)
1868-6486 (Online)
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/1.0/
Appears in Collections:Computer Science Research Collection
CASL Research Collection

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