American Psychological Association 6th edition

Tian, M., Xu, C., Wu, X., Pan, J., Guo, Y., Du, W., & Wei, Z. (2025). Swpmmas: an optimized parallel max-min ant system algorithm based on the SW26010-pro processor. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, 81(1). https://doi.org/10.1007/s11227-024-06581-0

ISO-690 (author-date, English)

TIAN, Min, XU, Chaoshuai, WU, Xiaoming, PAN, Jingshan, GUO, Ying, DU, Wei and WEI, Zhenguo, 2025. Swpmmas: an optimized parallel max-min ant system algorithm based on the SW26010-pro processor. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use. 1 January 2025. Vol. 81, no. 1, . DOI 10.1007/s11227-024-06581-0.

Modern Language Association 9th edition

Tian, M., C. Xu, X. Wu, J. Pan, Y. Guo, W. Du, and Z. Wei. “Swpmmas: An Optimized Parallel Max-Min Ant System Algorithm Based on the SW26010-Pro Processor”. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, vol. 81, no. 1, Jan. 2025, https://doi.org/10.1007/s11227-024-06581-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Tian, Min/Xu, Chaoshuai/Wu, Xiaoming/Pan, Jingshan/Guo, Ying/Du, Wei et al.: Swpmmas: an optimized parallel max-min ant system algorithm based on the SW26010-pro processor, The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use 2025,

Emerald - Harvard

Tian, M., Xu, C., Wu, X., Pan, J., Guo, Y., Du, W. and Wei, Z. (2025), “Swpmmas: an optimized parallel max-min ant system algorithm based on the SW26010-pro processor”, The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, Vol. 81 No. 1, available at:https://doi.org/10.1007/s11227-024-06581-0.

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