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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/5992

Title: A generalized approach to construct benchmark problems for dynamic optimization
Authors: Li, C
Yang, S
Keywords: Evolutionary algorithms
Dynamic environments
Generalized dynamic benchmark generator
Publication Date: 2008
Publisher: Springer
Citation: 7th International Conference on Simulated Evolution and Learning (SEAL 2008), Lecture Notes in Computer Science 5361: 391 - 400, 2008
Abstract: There has been a growing interest in studying evolutionary algorithms in dynamic environments in recent years due to its importance in real applications. However, different dynamic test problems have been used to test and compare the performance of algorithms. This paper proposes a generalized dynamic benchmark generator (GDBG) that can be instantiated into the binary space, real space and combinatorial space. This generator can present a set of different properties to test algorithms by tuning some control parameters. Some experiments are carried out on the real space to study the performance of the generator.
Description: Copyright @ Springer-Verlag Berlin Heidelberg 2008.
Sponsorship: This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) of UK under Grant EP/E060722/1.
URI: http://www.springerlink.com/content/567l022t27l67x10/
http://bura.brunel.ac.uk/handle/2438/5992
DOI: http://dx.doi.org/10.1007/978-3-540-89694-4_40
ISSN: 0302-9743
Appears in Collections:Information Systems and Computing
School of Information Systems, Computing and Mathematics Research Papers

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