Crossover, Population Dynamics and Convergence in the GAuGE System
|Title:||Crossover, Population Dynamics and Convergence in the GAuGE System||Authors:||Nicolau, Miguel
|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 algorithms; Grammatical 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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