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  5. Exploring grammatical modification with modules in grammatical evolution
 
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Exploring grammatical modification with modules in grammatical evolution

Author(s)
Swafford, John Mark  
O'Neill, Michael  
Nicolau, Miguel  
Brabazon, Anthony  
Uri
http://hdl.handle.net/10197/3554
Date Issued
2011-04-27
Date Available
2012-04-10T14:09:53Z
Abstract
There have been many approaches to modularity in the field of evolutionary computation, each tailored to function with a particular representation. This research examines one approach to modularity and grammar modification with a grammar-based approach to genetic programming, grammatical evolution (GE). Here, GE’s grammar was modified over the course of an evolutionary run with modules in order to facilitate their appearance in the population. This is the first step in what will be a series of analysis on methods of modifying GE’s grammar to enhance evolutionary performance. The results show that identifying modules and using them to modify GE’s grammar can have a negative effect on search performance when done improperly. But, if undertaken thoughtfully, there are possible benefits to dynamically enhancing the grammar with modules identified during evolution.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2011 Springer
Subjects

Grammatical evolution...

Genetic programming

Modularity

Subject – LCSH
Evolutionary computation
Genetic programming (Computer science)
Modular programming
DOI
10.1007/978-3-642-20407-4_27
Web versions
http://dx.doi.org/10.1007/978-3-642-20407-4_27
Language
English
Status of Item
Peer reviewed
Journal
Silva, S. et al. (eds.). Genetic Programming 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. Proceedings
Conference Details
Presented at Genetic Programming - 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011
ISBN
978-3-642-20406-7
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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swafford_eurogp_2011.pdf

Size

214.35 KB

Format

Adobe PDF

Checksum (MD5)

1a8b80b0c117ea09acdf72fdb4cff685

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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