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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5990

Title: Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems
Authors: Tinós, R
Yang, S
Keywords: q-Gaussian mutation
Evolution strategies
Dynamic optimization problems
Self-adaptation
Publication Date: 2011
Publisher: IOS Press
Citation: International Journal of Hybrid Intelligent Systems, 8(3): 155 - 168, August 2011
Abstract: Evolution strategies with q-Gaussian mutation, which allows the self-adaptation of the mutation distribution shape, is proposed for dynamic optimization problems in this paper. In the proposed method, a real parameter q, which allows to smoothly control the shape of the mutation distribution, is encoded in the chromosome of the individuals and is allowed to evolve. In the experimental study, the q-Gaussian mutation is compared to Gaussian and Cauchy mutation on experiments generated from the simulation of evolutionary robots and on dynamic optimization problems generated by the Moving Peaks generator.
Description: Copyright @ IOS Press. All Rights Reserved.
URI: http://iospress.metapress.com/content/1675hh3513p36mr0/
http://bura.brunel.ac.uk/handle/2438/5990
DOI: http://dx.doi.org/10.3233/HIS-2011-0136
ISSN: 1448-5869
Appears in Collections:Information Systems and Computing
School of Information Systems, Computing and Mathematics Research Papers

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