Crossover, Population Dynamics and Convergence in the GAuGE System

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Title: Crossover, Population Dynamics and Convergence in the GAuGE System
Authors: Nicolau, Miguel
Ryan, Conor
Permanent link: http://hdl.handle.net/10197/8276
Date: 30-Jun-2004
Online since: 2017-01-16T18:39:54Z
Abstract: This paper presents a study of the effectiveness of a recently presented crossover operator for the GAuGE system. This crossover, unlike the traditional crossover employed previously, preserves the association of positions and values which exists in GAuGE genotype strings, and as such is more adequate for problems where the meaning of an allele is dependent on its placement in the phenotype string. Results obtained show that the new operator improves the performance of the GAuGE system on simple binary problems, both when position-sensitive data is manipulated and not.
Type of material: Conference Publication
Publisher: Springer
Start page: 1414
End page: 1425
Series/Report no.: Lecture Notes in Computer Science
Keywords: Genetic algorithmsGrammatical evolution
DOI: 10.1007/978-3-540-24854-5_134
Language: en
Status of Item: Peer reviewed
Is part of: Deb, K., (ed.). Proceddings of Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference (Lecture Notes in Computer Science Volume 3102)
Conference Details: Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, Washington, USA, 26-30 June 2004
ISBN: 9783540223443
Appears in Collections:Business Research Collection

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