The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
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.
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Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Completely Derandomized Self-Adaptation in Evolution Strategies
Hansen, N., & Ostermeier, A. (2001) · Evolutionary Computation · doi:10.1162/106365601750190398 · Cited by 4,397
Cited by
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Wu, G., Mallipeddi, R., Suganthan, P. N., Wang, R., & Chen, H. (2016) · Information Sciences · doi:10.1016/j.ins.2015.09.009 · Cited by 569
Differential Evolution With Ranking-Based Mutation Operators
Gong, W., & Cai, Z. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2239988 · Cited by 401
Self-citationEnsemble of differential evolution variants
Wu, G., Shen, X., Li, H., Chen, H., Lin, A., & Suganthan, P. N. (2018) · Information Sciences · doi:10.1016/j.ins.2017.09.053 · Cited by 386
Ensemble strategies for population-based optimization algorithms – A survey
Wu, G., Mallipeddi, R., & Suganthan, P. N. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2018.08.015 · Cited by 270
Zhao, Z., Yang, J., Hu, Z., & Che, H. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.10.043 · Cited by 91
Metadata
- Authors
- Wang, Y., Cai, Z., & Zhang, Q.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2011-02
- Volume
- 15
- Issue
- 1
- Pages
- 55-66
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W2117250519
- Cited by
- 1,432
- References
- 2
- FWCI
- 63.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, Y., Cai, Z., & Zhang, Q. (2011). Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/tevc.2010.2087271
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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