Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments

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Title: Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments
Authors: Fagan, David
Nicolau, Miguel
Hemberg, Erik
O'Neill, Michael
Brabazon, Anthony
Permanent link: http://hdl.handle.net/10197/3570
Date: 14-Apr-2011
Online since: 2012-04-17T13:25:14Z
Abstract: In this paper we present a new variant of the ant problem in the dynamic problem domain. This approach presents a functional dynamism to the problem landscape, where by the behaviour of the ant is driven by its ability to explore the search space being constrained. This restriction is designed in such a way as to ensure that no generalised solution to the problem is possible, thus providing a functional change in behaviour.
Funding Details: Science Foundation Ireland
Type of material: Technical Report
Publisher: University College Dublin. School of Computer Science and Informatics
Series/Report no.: UCD School of Computer Science and Informatics Technical Report; UCD-CSI-2011-04
Keywords: Genetic programmingGrammatical evolutionDynamic environments
Subject LCSH: Genetic programming (Computer science)
Evolutionary computation
Other versions: http://www.csi.ucd.ie/files/UCD-CSI-2011-04.pdf
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Computer Science Research Collection
CASL Research Collection

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