American Psychological Association 6th edition

Miao, Z., Guo, H., Pan, Q.- ke, Peng, C., & Xu, Z. (2025). A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems. Expert Systems With Applications, 263. https://doi.org/10.1016/j.eswa.2024.125760

ISO-690 (author-date, English)

MIAO, Zhonghua, GUO, Hengwei, PAN, Quan-ke, PENG, Chen und XU, Ziyu, 2025. A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems. Expert Systems With Applications. 5 März 2025. Vol. 263, , . DOI 10.1016/j.eswa.2024.125760.

Modern Language Association 9th edition

Miao, Z., H. Guo, Q.- ke Pan, C. Peng, und Z. Xu. „A Reinforcement Learning-Enhanced Multi-Objective Iterated Greedy Algorithm for Weeding-Robot Operation Scheduling Problems“. Expert Systems With Applications, Bd. 263, März 2025, https://doi.org/10.1016/j.eswa.2024.125760.

Mohr Siebeck - Recht (Deutsch - Österreich)

Miao, Zhonghua/Guo, Hengwei/Pan, Quan-ke/Peng, Chen/Xu, Ziyu: A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems, Expert Systems With Applications 2025,

Emerald - Harvard

Miao, Z., Guo, H., Pan, Q.- ke, Peng, C. und Xu, Z. (2025), „A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems“, Expert Systems With Applications, Vol. 263, verfügbar unter:https://doi.org/10.1016/j.eswa.2024.125760.

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