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A non-destructive grammar modification approach to modularity in grammatical evolution

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Author(s)
Swafford, John Mark 
Hemberg, Erik 
O'Neill, Michael 
Nicolau, Miguel 
Brabazon, Anthony 
Uri
http://hdl.handle.net/10197/3612
Date Issued
12 July 2011
Date Available
15T15:40:44Z May 2012
Abstract
Modularity has proven to be an important aspect of evolutionary computation. This work is concerned with discovering and using modules in one form of grammar-based genetic programming, grammatical evolution (GE). Previous work has shown that simply adding modules to GE’s grammar has the potential to disrupt fit individuals developed by evolution up to that point. This paper presents a solution to prevent the disturbance in fitness that can come with modifying GE’s grammar with previously discovered modules. The results show an increase in performance from a previously examined grammar modification approach and also an increase in performance when compared to standard GE.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2011 ACM
Keywords
  • Grammatical evolution...

  • Genetic programming

  • Modularity

  • Grammars

Subject – LCSH
Evolutionary computation
Genetic programming (Computer science)
DOI
10.1145/2001576.2001766
Language
English
Status of Item
Peer reviewed
Part of
GECCO '11 Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, Dublin, Ireland, 12-16, July 2011
Description
Presented at GECCO '11, the 13th annual conference companion on Genetic and evolutionary computation, Dublin, Ireland, 12-16, 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/
Owning collection
Computer Science Research Collection
Scopus© citations
13
Acquisition Date
Jan 25, 2023
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2067
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Jan 26, 2023
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