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Functional Dependency and Degeneracy: Detailed Analysis of the GAuGE System
Author(s)
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
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
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nicolau03c.pdf
Size
193.85 KB
Format
Adobe PDF
Checksum (MD5)
0a35a9a00276d7887dba727d650be21b
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