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Examining mutation landscapes in grammar based genetic programming
Date Issued
2011-04-27
Date Available
2012-02-16T12:34:29Z
Abstract
Representation is a very important component of any evolutionary algorithm. Changing the representation can cause an algorithm to perform very differently. Such a change can have an effect that is difficult to understand. This paper examines what happens to the grammatical evolution algorithm when replacing the commonly used context-free grammar representation with a tree-adjunct grammar representation. We model the landscapes produced when using integer flip mutation with both representations and compare these landscapes using visualisation methods little used in the field of genetic programming.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2011 Springer
Subject – LCSH
Genetic programming (Computer science)
Evolutionary computation
Web versions
Language
English
Status of Item
Peer reviewed
Part of
Genetic Programming 14th European Conference, EuroGP 2011, Torino, Italy, April 27-29, 2011. Proceedings
Conference Details
Paper presented at the 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
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