Options
How Functional Dependency Adapts to Salience Hierarchy in the GAuGE System
Author(s)
Date Issued
2003-04-16
Date Available
2017-01-17T15:14:22Z
Abstract
GAuGE is a position independent genetic algorithm that suffers from neither under nor over-specification, and uses a genotype to phenotype mapping process. By specifying both the position and the value of each gene, it has the potential to group important data together in the genotype string, to prevent it from being broken up and disrupted during the evolution process. To test this ability, GAuGE was applied to a set of problems with exponentially scaled salience. The results obtained demonstrate that GAuGE is indeed moving the more salient genes to the start of the genotype strings, creating robust individuals that are built in a progressive fashion from the left to the right side of the genotype.
Type of Material
Conference Publication
Publisher
Springer
Start Page
153
End Page
163
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2003 Springer
Language
English
Status of Item
Peer reviewed
Part of
Ryan, C., Soule, T., Keijzer, M., Tsang, E., Poli, R. and Costa, E. Genetic Programming (Lecture Notes in Computer Science 2610)
Conference Details
Genetic Programming: 6th European Conference, EuroGP 2003, Essex, UK, 14-16 April 14-16 2003
ISBN
978-3-540-00971-9
This item is made available under a Creative Commons License
File(s)
Owning collection
Scopus© citations
6
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Views
1386
Last Month
1
1
Acquisition Date
Mar 28, 2024
Mar 28, 2024
Downloads
399
Last Week
2
2
Last Month
8
8
Acquisition Date
Mar 28, 2024
Mar 28, 2024