Genetic Operators and Sequencing in the GAuGE System

Files in This Item:
File Description SizeFormat 
nicolau06b.pdf144.65 kBAdobe PDFDownload
Title: Genetic Operators and Sequencing in the GAuGE System
Authors: Nicolau, Miguel
Ryan, Conor
Permanent link: http://hdl.handle.net/10197/8282
Date: 21-Jul-2006
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
Keywords: Genetic algorithmsGrammatical evolution
DOI: 10.1109/CEC.2006.1688494
Language: en
Status of Item: Peer reviewed
Conference Details: IEEE Congress on Evolutionary Computation (CEC 2006), Vancouver, British Columbia, Canada, 16-21 July 2006
Appears in Collections:Business Research Collection

Show full item record

Download(s)

5
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.