Efficient Crossover in the GAuGE System
|Title:||Efficient Crossover in the GAuGE System||Authors:||Nicolau, Miguel
|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 algorithms; Grammatical 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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