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Neutrality in evolutionary algorithms... What do we know?
Galván López, Edgar; Poli, Riccardo; Kattan, Ahmed; O'Neill, Michael; Brabazon, Anthony
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 we belive the community needs to address.
Keyword(s): Neutrality; Phenotypic mutation rates; Problem hardness; Genotype–phenotype mappings; Evolutionary algorithms
Publication Date:
Type: Journal article
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Galván López, Edgar and Poli, Riccardo and Kattan, Ahmed and O'Neill, Michael and Brabazon, Anthony (2011) Neutrality in evolutionary algorithms... What do we know? Evolving Systems, 2 (3). pp. 145-163. ISSN 1868-6486
Publisher(s): Springer
File Format(s): other
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First Indexed: 2020-04-02 06:00:40 Last Updated: 2020-04-02 06:00:40