Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/5843
Title: Hyper-selection in dynamic environments
Authors: Yang, S
Tinos, R
Keywords: Dynamic optimization problems;Genetic algorithms;Genetic operators;Hyper-selection scheme
Issue Date: 2008
Publisher: IEEE
Citation: IEEE Congress on Evolutionary Computation (CEC 2008), Hong Kong: 3185 - 3192, 01-06 Jun 2008
Abstract: In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods is to adapt genetic operators in order for genetic algorithms to adapt to a new environment. This paper investigates the effect of the selection pressure on the performance of genetic algorithms in dynamic environments. A hyper-selection scheme is proposed for genetic algorithms, where the selection pressure is temporarily raised whenever the environment changes. The hyper-selection scheme can be combined with other approaches for genetic algorithms in dynamic environments. Experiments are carried out to investigate the effect of different selection pressures on the performance of genetic algorithms in dynamic environments and to investigate the effect of the hyper-selection scheme on the performance of genetic algorithms in combination with several other schemes in dynamic environments. The experimental results indicate that the effect of the hyper-selection scheme depends on the problem under consideration and other schemes combined in genetic algorithms.
Description: This article is posted here with permission from IEEE - Copyright @ 2008 IEEE
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4631229
http://bura.brunel.ac.uk/handle/2438/5843
DOI: http://dx.doi.org/10.1109/CEC.2008.4631229
ISBN: 978-1-4244-1822-0
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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