American Psychological Association 6th edition

Ren, X., Wang, H., Hu, H., Wang, J., & Ablameyko, S. V. (2025). Weighted committee-based surrogate-assisted differential evolution framework for efficient medium-scale expensive optimization. International Journal of Machine Learning and Cybernetics, 1-18. https://doi.org/10.1007/s13042-025-02632-x

ISO-690 (author-date, English)

REN, Xiaoqing, WANG, Hongliang, HU, Hanyu, WANG, Jian and ABLAMEYKO, Sergey V., 2025. Weighted committee-based surrogate-assisted differential evolution framework for efficient medium-scale expensive optimization. International Journal of Machine Learning and Cybernetics. 22 April 2025. P. 1-18. DOI 10.1007/s13042-025-02632-x.

Modern Language Association 9th edition

Ren, X., H. Wang, H. Hu, J. Wang, and S. V. Ablameyko. “Weighted Committee-Based Surrogate-Assisted Differential Evolution Framework for Efficient Medium-Scale Expensive Optimization”. International Journal of Machine Learning and Cybernetics, Apr. 2025, pp. 1-18, https://doi.org/10.1007/s13042-025-02632-x.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ren, Xiaoqing/Wang, Hongliang/Hu, Hanyu/Wang, Jian/Ablameyko, Sergey V.: Weighted committee-based surrogate-assisted differential evolution framework for efficient medium-scale expensive optimization, International Journal of Machine Learning and Cybernetics 2025, 1-18.

Emerald - Harvard

Ren, X., Wang, H., Hu, H., Wang, J. and Ablameyko, S.V. (2025), “Weighted committee-based surrogate-assisted differential evolution framework for efficient medium-scale expensive optimization”, International Journal of Machine Learning and Cybernetics, pp. 1-18.

Warning: These citations may not always be 100% accurate.