Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/9336
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Fitness landscapes and the Andrews-Curtis conjecture
Authors: Swan, Jerry
Ochoa, Gabriela
Kendall, Graham
Edjvet, Martin
Contact Email: gabriela.ochoa@stir.ac.uk
Keywords: Andrews–Curtis conjectu
fitness landscapes
combinatorial optimization
Issue Date: Mar-2012
Publisher: World Scientific
Citation: Swan J, Ochoa G, Kendall G & Edjvet M (2012) Fitness landscapes and the Andrews- Curtis conjecture, International Journal of Algebra and Computation, 22 (2), p. 1250009.
Abstract: Attempts have been made to eliminate some potential counterexamples to the Andrews-Curtis conjecture using the combinatorial optimization methods of blind- search and the genetic algorithms meta-heuristic. Breadth-first search with secondary storage is currently the most successful method, which raises questions regarding the inferior performance of heuristic search. In order to understand the underlying reasons we obtain fitness landscape metrics for a number of balanced presentations and draw conclusions regarding the likely effectiveness of other meta-heuristics.
Type: Journal Article
URI: http://hdl.handle.net/1893/9336
DOI Link: http://dx.doi.org/10.1142/S0218196711006753
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Computing Science - CSM Dept
Computing Science - CSM Dept
University of Nottingham
University of Nottingham

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