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  5. Genotype-phenotype mapping in dynamic environments with grammatical evolution
 
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Genotype-phenotype mapping in dynamic environments with grammatical evolution

Author(s)
Fagan, David  
Uri
http://hdl.handle.net/10197/3602
Date Issued
2011-07-12
Date Available
2012-05-10T14:29:56Z
Abstract
The application of a genotype-phenotype mapping in Evolutionary Computation is not a new idea, however, how this mapping process is interpreted, and implemented varies wildly. In the majority of cases a very simple abstraction of the biological genotype-phenotype mapping is used, but as our understanding of this process increases, the deficiencies in current approaches become more evident. In this paper, an outline of what approaches have been taken in the investigation of the genotype-phenotype map in Grammatical Evolution are presented and an outline of proposed future work is introduced.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2011 ACM
Subjects

Genetic programming

Grammatical evolution...

Genotype-phenotype ma...

Dynamic environment

Subject – LCSH
Genetic programming (Computer science)
Evolutionary computation
Genetics
DOI
10.1145/2001858.2002091
Web versions
http://dx.doi.org/10.1145/2001858.2002091
Language
English
Status of Item
Peer reviewed
Journal
GECCO '11 : Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Conference Details
GECCO 2011, ACM Genetic and Evolutionary Computation Conference, Graduate Student Workshop, Dublin, Ireland, 12-16th July, 2011
ISBN
978-1-4503-0690-4
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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wk1412gs-fagan.pdf

Size

102.86 KB

Format

Adobe PDF

Checksum (MD5)

8839041fdbd3bccfa0a56e9227b03d03

Owning collection
Computer Science Research Collection
Mapped collections
CASL 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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