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  5. Genetic Operators and Sequencing in the GAuGE System
 
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Genetic Operators and Sequencing in the GAuGE System

Author(s)
Nicolau, Miguel  
Ryan, Conor  
Uri
http://hdl.handle.net/10197/8282
Date Issued
2006-07-21
Date Available
2017-01-19T17:27:37Z
Abstract
This paper investigates the effects of the mapping process employed by the GAuGE system on standard genetic operators. It is shown that the application of that mapping process transforms these operators into suitable sequencing searching tools. A practical application is analysed, and its results compared with a standard genetic algorithm, using the same operators. Results and analysis highlight the suitability of GAuGE and its operators, for this class of problems.
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2006 IEEE
Subjects

Genetic algorithms

Grammatical evolution...

DOI
10.1109/CEC.2006.1688494
Language
English
Status of Item
Peer reviewed
Conference Details
IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 July 2006
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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nicolau06b.pdf

Size

144.65 KB

Format

Adobe PDF

Checksum (MD5)

fb66ae9017286249a765dcbf94af8fe1

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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