Differential Evolution and Engineering Problems
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Date
2023-06-30
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Mark
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Institute of Automation and Computer Science, Brno University of Technology
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Abstract
In this paper, the performance of the Differential Evolution algorithm is evaluated when solving real-world problems. A Set of 13 engineering optimisation problems was selected from the fields of mechanics and industry to illustrate the usability of the Differential Evolution algorithm. Twelve variants of the standard Differential Evolution with various settings of the control parameters are compared with 19 state-of-the-art adaptive variants of this algorithm. The results are analysed statistically to achieve significant differences. Three variants of adaptive Differential Evolution provided better results compared to other algorithms. Some adaptive variants of Differential Evolution perform significantly worse than the original Differential Evolution with the fixed setting of the control parameters.
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Citation
Mendel. 2023 vol. 29, č. 1, s. 45-54. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/225
https://mendel-journal.org/index.php/mendel/article/view/225
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
http://creativecommons.org/licenses/by-nc-sa/4.0
http://creativecommons.org/licenses/by-nc-sa/4.0