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A Study of Redundancy and Neutrality in Evolutionary Optimization

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Detalhes bibliográficos
Resumo:Some authors consider that evolutionary search may be positively influenced by the use of redundant representations, whereas others note that the addition of random redundancy to a representation could be useless in optimization. Given this lack of consensus, two new families of redundant binary representations are developed in this paper.
Autores principais:Correia, Marisol B.
Assunto:Evolutionary algorithms Redundant binary representations Neutrality Error control codes NK fitness landscapes
Ano:2013
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Algarve
Idioma:inglês
Origem:Sapientia - Universidade do Algarve
Descrição
Resumo:Some authors consider that evolutionary search may be positively influenced by the use of redundant representations, whereas others note that the addition of random redundancy to a representation could be useless in optimization. Given this lack of consensus, two new families of redundant binary representations are developed in this paper.

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