Examining mutation landscapes in grammar based genetic programming

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Title: Examining mutation landscapes in grammar based genetic programming
Authors: Murphy, Eoin
O'Neill, Michael
Brabazon, Anthony
Permanent link: http://hdl.handle.net/10197/3513
Date: 27-Apr-2011
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.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2011 Springer
Keywords: Grammatical evolution;Genetic programming;Mutation;Tree-adjunct grammar;Representation
Subject LCSH: Genetic programming (Computer science)
Evolutionary computation
DOI: 10.1007/978-3-642-20407-4_12
Language: en
Status of Item: Peer reviewed
Is 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
Appears in Collections:Computer Science Research Collection
CASL Research Collection

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