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A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems
Abstract
Several extensions to evolutionary algorithms (EAs) and particle swarm optimization (PSO) have been suggested during the last decades offering improved performance on selected benchmark problems. Recently, another search heuristic termed differential evolution (DE) has shown superior performance in several real-world applications. In this paper, we evaluate the performance of DE, PSO, and EAs regarding their general applicability as numerical optimization techniques. The comparison is performed on a suite of 34 widely used benchmark problems. The results from our study show that DE generally outperforms the other algorithms. However, on two noisy functions, both DE and PSO were outperformed by the EA.
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Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
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
A Competitive Swarm Optimizer for Large Scale Optimization
Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2322602 · Cited by 1,052
A social learning particle swarm optimization algorithm for scalable optimization
Cheng, R., & Jin, Y. (2015) · Information Sciences · doi:10.1016/j.ins.2014.08.039 · Cited by 747
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
Chen, Y., Mahalec, V., Chen, Y., Liu, X., He, R., & Sun, K. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.09.025 · Cited by 45
Metadata
- Authors
- Vesterstrom, J., & Thomsen, R.
- Venue
- Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
- Publisher
- IEEE
- Published
- 2005-01-17
- Pages
- 1980-1987
- OpenAlex
- W1708394971
- Cited by
- 1,205
- References
- 1
- FWCI
- 23.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Vesterstrom, J., & Thomsen, R. (2005). A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753). https://doi.org/10.1109/cec.2004.1331139
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