Efficient Crossover in the GAuGE System

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Title: Efficient Crossover in the GAuGE System
Authors: Nicolau, Miguel
Ryan, Conor
Permanent link: http://hdl.handle.net/10197/8277
Date: 7-Apr-2004
Abstract: This paper presents a series of context-preserving crossover operators for the GAuGE system. These operators have been designed to respect the representation of genotype strings in GAuGE, thereby making sensible changes at the genotypic level. Results on a set of problems suggest that some of these operators can improve the maintenance and propagation of building blocks in GAuGE, as well as its scalability, and could be of use to other systems using structural evolving genomes.
Type of material: Conference Publication
Publisher: Springer
Series/Report no.: Lecture Notes in Computer Science
Copyright (published version): 2004 Springer
Keywords: Genetic algorithmsGrammatical evolution
DOI: 10.1007/978-3-540-24650-3_12
Language: en
Status of Item: Peer reviewed
Is part of: Keijzer, M., O'Reilly, U.M., Lucas, S.M., Costa, E. and Soule, T. (eds.). Genetic Programming (Lecture Notes in Computer Science Volume 3003)
Conference Details: Genetic Programming, 7th European Conference, EuroGP 2004, Coimbra, Portugal, 5-7 April 2004
ISBN: 9783540213468
Appears in Collections:Business Research Collection

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