American Psychological Association 6th edition

Wu, Q., Geng, Z., Ren, Y., Feng, Q., & Zhong, J. (2023). Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration. Sensors (14248220), 23(23), 9484-9499. https://doi.org/10.3390/s23239484

ISO-690 (author-date, English)

WU, Qilong, GENG, Zitao, REN, Yi, FENG, Qiang und ZHONG, Jilong, 2023. Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration. Sensors (14248220). 1 Dezember 2023. Vol. 23, no. 23, p. 9484-9499. DOI 10.3390/s23239484.

Modern Language Association 9th edition

Wu, Q., Z. Geng, Y. Ren, Q. Feng, und J. Zhong. „Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration.“. Sensors (14248220), Bd. 23, Nr. 23, Dezember 2023, S. 9484-99, https://doi.org/10.3390/s23239484.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wu, Qilong/Geng, Zitao/Ren, Yi/Feng, Qiang/Zhong, Jilong: Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration., Sensors (14248220) 2023, 9484-9499.

Emerald - Harvard

Wu, Q., Geng, Z., Ren, Y., Feng, Q. und Zhong, J. (2023), „Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration.“, Sensors (14248220), Vol. 23 No. 23, S. 9484-9499.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.