The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A comparative study of differential evolution variants for global optimization
Abstract
In this paper, we present an empirical comparison of some Differential Evolution variants to solve global optimization problems. The aim is to identify which one of them is more suitable to solve an optimization problem, depending on the problem's features and also to identify the variant with the best performance, regardless of the features of the problem to be solved. Eight variants were implemented and tested on 13 benchmark problems taken from the specialized literature. These variants vary in the type of recombination operator used and also in the way in which the mutation is computed. A set of statistical tests were performed in order to obtain more confidence on the validity of the results and to reinforce our discussion. The main aim is that this study can help both researchers and practitioners interested in using differential evolution as a global optimizer, since we expect that our conclusions can provide some insights regarding the advantages or limitations of each of the variants studied.
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Cites
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Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
Differential Evolution With Ranking-Based Mutation Operators
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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
Evolutionary Algorithms for Wireless Communications — A Review of the State-of-the art
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A Support Vector Machine Approach for Categorization of Patients Suffering from Chronic Diseases
Bellos, C., Papadopoulos, A., Rosso, R., & Fotiadis, D. I. (2012) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-29734-2_36 · Cited by 5
Metadata
- Authors
- Mezura-Montes, E., Velázquez-Reyes, J., & Coello Coello, C. A.
- Venue
- Proceedings of the 8th annual conference on Genetic and evolutionary computation
- Publisher
- ACM
- Published
- 2006-07-08
- Pages
- 485-492
- OpenAlex
- W2036762380
- Cited by
- 593
- References
- 22
- FWCI
- 12.97
- Type
- conference paper
- Language
- en
- Open access
- closed
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