Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23393
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Brownlee, Alexander
Woodward, John
Swan, Jerry
Contact Email: ab90@cs.stir.ac.uk
Title: Metaheuristic Design Pattern: Surrogate Fitness Functions
Editors: Silva, S
Citation: Brownlee A, Woodward J & Swan J (2016) Metaheuristic Design Pattern: Surrogate Fitness Functions In: Silva S (ed.) GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, New York: ACM. GECCO 2015: Annual Conference on Genetic and Evolutionary Computation, 11.7.2015 - 15.7.2015, Madrid, Spain, pp. 1261-1264.
Issue Date: Jul-2016
Conference Name: GECCO 2015: Annual Conference on Genetic and Evolutionary Computation
Conference Dates: 2015-07-11T00:00:00Z
Conference Location: Madrid, Spain
Abstract: Certain problems have characteristics that present difficulties for metaheuristics: their objective function may be either prohibitively expensive, or they may only give a partial ordering over the solutions, lacking a suitable gradient to guide the search. In such cases, it may be more efficient to use a surrogate fitness function to replace or supplement the objective function. This paper provides a broad perspective on surrogate fitness functions, described in the form of a metaheuristic design pattern.
Type: Conference Paper
Status: Book Chapter: author post-print (pre-copy editing)
Rights: Publisher policy allows this work to be made available in this repository. Published in GECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation by ACM. The original publication is available at: http://dl.acm.org/citation.cfm?id=2768499
URI: http://hdl.handle.net/1893/23393
URL: http://dx.doi.org/10.1145/2739482.2768499
Affiliation: Computing Science - CSM Dept
Computing Science and Mathematics
Computing Science - CSM Dept

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