Proposal of a nonparametric optimization method based on evolutionary process evaluation through differentiation (Validation of benchmark function and hysteresis curve identification)-Reference-Cited by-同舟云学术

Proposal of a nonparametric optimization method based on evolutionary process evaluation through differentiation (Validation of benchmark function and hysteresis curve identification)

Published:2024 Issue:936 Volume:90 Page:24-00021-24-00021
ISSN:2187-9761
Container-title:Transactions of the JSME (in Japanese)
language:en
Short-container-title:

Author:

AKAIWA Shuya¹,FUKASAWA Tsuyoshi¹,FUJITA Satoshi¹

Affiliation:

1. Department of Mechanical Engineering, Tokyo Denki University

Publisher

Japan Society of Mechanical Engineers

Link

https://www.jstage.jst.go.jp/article/transjsme/90/936/90_24-00021/_pdf

Reference36 articles.

1. Abdollahzadeh, B., Khodadadi, N., Barshandeh, S., Trojovsky, P., Gharehchopogh, F.S., El-kenawy, E.-S.M., Abualigah, L. and Mirjalili, S.,, “Puma optimizer (PO): a novel metaheuristic optimization algorithmand its application in machine learning” , Cluster Computing , (2024) , pp.1-49.

2. Akehashi, H. and Takewaki, I., Global Optimization of Hysteretic Dampers for Elastic-plastic Mdof Structures Via Hybrid Approach of Real-coded Genetic Algorithm and Local Search, The Architectural Institute of Japan’s Journal of Structural and Construction Engineering, Vol. 86，No.787 (2021), pp 1335-1344(in Japanese).

3. Basset, M.A., El-Shahat, D., Jameel, M. and Abouhawwash, M., “Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems” , vol. 56, (2023) , pp. 9329-9400.

4. Braik, M., Hammouri, A., Atwan, J., Al-Betar, M.A. and Awadallah, M.A.,, “White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems” , vol. 243, (2022) , pp. 1-29.

5. Dhiman, G. and Kumar, V., “Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications”, ELSEVIER,Advance in Engineering Software , Vol. 114, (2017),pp48-70.