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A brief comparison of some evolutionary optimization methods

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The subject of evolutionary computing is a rapidly developing one where many new search methods are being proposed all the time. Inevitably, some of these new methods will not still be in current use in a few years as a small subset becomes the preferred choice of the optimization community. A key part in this process is the back-to-back testing of competing methods on test problems that simulate real problems. This brief paper presents results for such a test, focusing on the robustness of four methods when applied to a pair of high dimensional test functions. The work presented shows that some modern search methods can be highly sensitive to mistuning of their control parameters and, moreover, that different problems may well require radically different settings of such parameters if the searches are to be effective.

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Citation

Keane, A.J. (1996) A brief comparison of some evolutionary optimization methods In, Rayward-Smith, V.J., Osman, I.H., Reeves, C.R. and Smith, G.D. (eds.) Modern Heuristic Search Methods. Chichester, UK, John Wiley pp. 255-272.

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Published date: 1996

Identifiers

Local EPrints ID: 21162
URI: http://eprints.soton.ac.uk/id/eprint/21162
ISBN: 0471962805
PURE UUID: a0366e46-2f7a-489d-a5e9-e603dfc6e171

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Date deposited: 07 Nov 2006
Last modified: 17 Jul 2017 16:27

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Contributors

Author: A.J. Keane
Editor: V.J. Rayward-Smith
Editor: I.H. Osman
Editor: C.R. Reeves
Editor: G.D. Smith

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