An Adaptive Differential Evolution Algorithm Based on Data Preprocessing Method and a New Mutation Strategy to Solve Dynamic Economic Dispatch Considering Generator Constraints-Reference-Cited by-同舟云学术

An Adaptive Differential Evolution Algorithm Based on Data Preprocessing Method and a New Mutation Strategy to Solve Dynamic Economic Dispatch Considering Generator Constraints

Published:2024-09-08 Issue: Volume: Page:
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Zhao Ruxin^ORCID,Wang Wei,Zhang Tingting,Liu Chang,Fu Lixiang,Kang Jiajie,Zhang Hongtan,Shi Yang,Jiang Chao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10614-024-10705-2.pdf

Reference32 articles.

1. Al-Betar, M. A., Awadallah, M. A., Zitar, R. A., & Assaleh, K. (2023). Economic load dispatch using memetic sine cosine algorithm. Journal of Ambient Intelligence and Humanized Computing, 14(9), 11685–11713.

2. Andrei, N. (2008). An unconstrained optimization test functions collection. Advanced Modeling Optimization, 10(1), 147–161.

3. Anita, Yadav, A., & Kumar, N. (2021). Application of artificial electric field algorithm for economic load dispatch problem. In: Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) 11. Springer International Publishing. pp. 71–79

4. Awad, N. H., Ali, M. Z., Liang, J. J., Qu, B. Y., & Suganthan, P. N. (2016). Problem definitions and evaluation criteria for the CEC 2017 special session and competition on single objective bound constrained real-parameter numerical optimization. In: Technical report Singapore: Nanyang Technological University Singapore pp. 1-34

5. Bai, Y., Wu, X., & Xia, A. (2021). An enhanced multi-objective differential evolution algorithm for dynamic environmental economic dispatch of power system with wind power. Energy Science & Engineering, 9(3), 316–329.