The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Differential Evolution: A survey of theoretical analyses
Abstract
Abstract Differential Evolution (DE) is a state-of-the art global optimization technique. Considerable research effort has been made to improve this algorithm and apply it to a variety of practical problems. Nevertheless, analytical studies concerning DE are rather rare. This paper surveys the theoretical results obtained so far for DE. A discussion of genetic operators characteristic of DE is coupled with an overview of the population diversity and dynamics models. A comprehensive view on the current-day understanding of the underlying mechanisms of DE is complemented by a list of promising research directions.
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Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
A Simplex Method for Function Minimization
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No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
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
JADE: Adaptive Differential Evolution With Optional External Archive
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Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
Qin, A. K., Huang, V. L., & Suganthan, P. N. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2008.927706 · Cited by 3,614
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Cited by
A comprehensive survey: Whale Optimization Algorithm and its applications
Gharehchopogh, F. S., & Gholizadeh, H. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.03.004 · Cited by 758
Differential Evolution: A Recent Review Based on State-of-the-Art Works
Ahmad, M. F., Isa, N. A. M., Lim, W. H., & Ang, K. M. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2021.09.013 · Cited by 579
Metadata
- Authors
- Opara, K. R., & Arabas, J.
- Venue
- Swarm and Evolutionary Computation
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 44
- Pages
- 546-558
- ISSN
- 2210-6502 (ISSN-L)
- OpenAlex
- W2809890364
- Cited by
- 473
- References
- 60
- FWCI
- 19.24
- Type
- journal article
- Language
- en
- Open access
- closed
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