A new filled function for constrained global optimization

Weixiang Wang; Weiping Wei; Shuang Su; Youlin Shang

doi:10.1117/12.3011484

7 December 2023 A new filled function for constrained global optimization

Weixiang Wang, Weiping Wei, Shuang Su, Youlin Shang

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412I (2023) https://doi.org/10.1117/12.3011484
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

This article introduces a solitary adjustable parameter-based filled function technique tailored for constrained global optimization. The devised filled function strives to encapsulate the idiosyncrasies inherent in the optimization quandary, and the single parameter can be easily tuned during the optimization process. The paper explores the analytical characters of the filled function and presents an algorithm based on the filled function approach. Finally, numerical tests are implemented to demonstrate the effectiveness of the proposed filled function method.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weixiang Wang, Weiping Wei, Shuang Su, and Youlin Shang "A new filled function for constrained global optimization", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412I (7 December 2023); https://doi.org/10.1117/12.3011484

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