Wang, Yong and Cai, Zixing and Zhang, Qingfu (2011) Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Transactions on Evolutionary Computation, 15 (1). pp. 55-66. DOI https://doi.org/10.1109/tevc.2010.2087271
Wang, Yong and Cai, Zixing and Zhang, Qingfu (2011) Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Transactions on Evolutionary Computation, 15 (1). pp. 55-66. DOI https://doi.org/10.1109/tevc.2010.2087271
Wang, Yong and Cai, Zixing and Zhang, Qingfu (2011) Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Transactions on Evolutionary Computation, 15 (1). pp. 55-66. DOI https://doi.org/10.1109/tevc.2010.2087271
Abstract
Trial vector generation strategies and control parameters have a significant influence on the performance of differential evolution (DE). This paper studies whether the performance of DE can be improved by combining several effective trial vector generation strategies with some suitable control parameter settings. A novel method, called composite DE (CoDE), has been proposed in this paper. This method uses three trial vector generation strategies and three control parameter settings. It randomly combines them to generate trial vectors. CoDE has been tested on all the CEC2005 contest test instances. Experimental results show that CoDE is very competitive. © 2010 IEEE.
Item Type: | Article |
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Uncontrolled Keywords: | Control parameters; differential evolution; global numerical optimization; trial vector generation strategy |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 13 Jan 2012 11:25 |
Last Modified: | 30 Oct 2024 17:20 |
URI: | http://repository.essex.ac.uk/id/eprint/1970 |
Available files
Filename: CoDE.pdf
Description: Paper
Filename: codealgorithm.rar
Description: matlab code