Mai, X., Zhong, Y., Liu, L.-B., & Liu, H.-B. (2025). A new quantum differential squirrel search algorithm for global optimization problem. Cluster Computing: The Journal of Networks, Software Tools and Applications, 28(14). https://doi.org/10.1007/s10586-025-05571-y
ISO-690 (author-date, English)MAI, Xiongfa, ZHONG, Yan, LIU, Li-Bin und LIU, Han-Bin, 2025. A new quantum differential squirrel search algorithm for global optimization problem. Cluster Computing: The Journal of Networks, Software Tools and Applications. 1 November 2025. Vol. 28, no. 14, . DOI 10.1007/s10586-025-05571-y.
Modern Language Association 9th editionMai, X., Y. Zhong, L.-B. Liu, und H.-B. Liu. „A New Quantum Differential Squirrel Search Algorithm for Global Optimization Problem“. Cluster Computing: The Journal of Networks, Software Tools and Applications, Bd. 28, Nr. 14, November 2025, https://doi.org/10.1007/s10586-025-05571-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Mai, Xiongfa/Zhong, Yan/Liu, Li-Bin/Liu, Han-Bin: A new quantum differential squirrel search algorithm for global optimization problem, Cluster Computing: The Journal of Networks, Software Tools and Applications 2025,
Emerald - HarvardMai, X., Zhong, Y., Liu, L.-B. und Liu, H.-B. (2025), „A new quantum differential squirrel search algorithm for global optimization problem“, Cluster Computing: The Journal of Networks, Software Tools and Applications, Vol. 28 No. 14, verfügbar unter:https://doi.org/10.1007/s10586-025-05571-y.