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Dynamic ant : introducing a new benchmark for genetic programming in dynamic environments |
Fagan, David; Nicolau, Miguel; Hemberg, Erik; O'Neill, Michael; Brabazon, Anthony
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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.
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Keyword(s):
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Genetic programming; Grammatical evolution; Dynamic environments; Genetic programming (Computer science); Evolutionary computation |
Publication Date:
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2011 |
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Type:
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Report |
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Peer-Reviewed:
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No |
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Language(s):
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English |
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Institution:
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University College Dublin |
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Funder(s):
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Science Foundation Ireland |
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Publisher(s):
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University College Dublin. School of Computer Science and Informatics |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://www.csi.ucd.ie/files/UCD-CSI-2011-04.pdf |
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First Indexed:
2012-08-25 05:15:47 Last Updated:
2017-04-25 16:27:12 |
