American Psychological Association 6th edition

Chi, A., Ma, M., Zhang, Y., & Jin, Z. (2022). Competitive teaching–learning-based optimization for multimodal optimization problems. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 26(19), 10163-10186. https://doi.org/10.1007/s00500-022-07283-6

ISO-690 (author-date, English)

CHI, Aining, MA, Maode, ZHANG, Yiying and JIN, Zhigang, 2022. Competitive teaching–learning-based optimization for multimodal optimization problems. Soft Computing: A Fusion of Foundations, Methodologies and Applications. 1 October 2022. Vol. 26, no. 19, p. 10163-10186. DOI 10.1007/s00500-022-07283-6.

Modern Language Association 9th edition

Chi, A., M. Ma, Y. Zhang, and Z. Jin. “Competitive teaching–learning-Based Optimization for Multimodal Optimization Problems”. Soft Computing: A Fusion of Foundations, Methodologies and Applications, vol. 26, no. 19, Oct. 2022, pp. 10163-86, https://doi.org/10.1007/s00500-022-07283-6.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chi, Aining/Ma, Maode/Zhang, Yiying/Jin, Zhigang: Competitive teaching–learning-based optimization for multimodal optimization problems, Soft Computing: A Fusion of Foundations, Methodologies and Applications 2022, 10163-10186.

Emerald - Harvard

Chi, A., Ma, M., Zhang, Y. and Jin, Z. (2022), “Competitive teaching–learning-based optimization for multimodal optimization problems”, Soft Computing: A Fusion of Foundations, Methodologies and Applications, Vol. 26 No. 19, pp. 10163-10186.

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