Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Business
  3. School of Business
  4. Business Research Collection
  5. Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System
 
  • Details
Options

Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System

Author(s)
Nicolau, Miguel  
Auger, Anne  
Ryan, Conor  
Uri
http://hdl.handle.net/10197/8281
Date Issued
2003-10-30
Date Available
2017-01-19T17:25:58Z
Abstract
This paper explores the mapping process of the GAuGE system, a recently introduced position-independent genetic algorithm, that encodes both the positions and the values of individuals at the genotypic level. A mathematical formalisation of its mapping process is presented, and is used to characterise the functional dependency feature of the system. An analysis of the effect of degeneracy in this functional dependency is then performed, and a mathematical theorem is given, showing that the introduction of degeneracy reduces the position specification bias of individuals. Experimental results are given, that backup these findings.
Type of Material
Conference Publication
Publisher
Springer
Start Page
15
End Page
26
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2004 Springer
Subjects

Genetic algorithms

Grammatical evolution...

DOI
10.1007/978-3-540-24621-3_2
Language
English
Status of Item
Peer reviewed
Journal
Liardet, P., Collet, P., Fonlupt, C., Lutton, E. and Schoenauer, M.(eds.). Artificial Evolution (Lecture Notes in Computer science Volume 2936)
Conference Details
6th International Conference, Evolution Artificielle, EA 2003, Marseille, France, 27-30 October 2003
ISBN
9783540215233
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

nicolau03c.pdf

Size

193.85 KB

Format

Adobe PDF

Checksum (MD5)

0a35a9a00276d7887dba727d650be21b

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.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement