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Efficient Crossover in the GAuGE System
Author(s)
Date Issued
2004-04-07
Date Available
2017-01-16T19:02:02Z
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
Lecture Notes in Computer Science
Copyright (Published Version)
2004 Springer
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
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nicolau04a.pdf
Size
167.82 KB
Format
Adobe PDF
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