Abstract
A sine cosine algorithm is one promising meta-heuristic recently proposed. In this work, the algorithm is extended to be self-adaptive and its main reproduction operators are integrated with the mutation operator of differential evolution. The new algorithm is called adaptive sine cosine algorithm integrated with differential evolution (ASCA-DE) and used to tackle the test problems for structural damage detection. The results reveal that the new algorithm outperforms a number of established meta-heuristics.
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The authors are grateful for the support from the Thailand Research Fund (TRF).
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Bureerat, S., Pholdee, N. (2017). Adaptive Sine Cosine Algorithm Integrated with Differential Evolution for Structural Damage Detection. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10404. Springer, Cham. https://doi.org/10.1007/978-3-319-62392-4_6
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DOI: https://doi.org/10.1007/978-3-319-62392-4_6
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