APA (7th ed.) Citation

Li, L., Shi, Q., Wen, Z., Liu, H., Zhang, W., & Zhang, X. (2025, July). Reliable and Efficient Multi-Objective Task Scheduling for Multiple-Payload Satellite Based on Genetic Algorithm Strengthened Deep Reinforcement Learning. Advances in space research. https://doi.org/10.1016/j.asr.2025.07.047

Chicago Style (17th ed.) Citation

Li, Lu, Qi Shi, Zhijiang Wen, Huaqiu Liu, Wenxiu Zhang, and Xiaofeng Zhang. "Reliable and Efficient Multi-Objective Task Scheduling for Multiple-Payload Satellite Based on Genetic Algorithm Strengthened Deep Reinforcement Learning." Advances in Space Research Jul. 2025. https://doi.org/10.1016/j.asr.2025.07.047.

MLA (9th ed.) Citation

Li, Lu, et al. "Reliable and Efficient Multi-Objective Task Scheduling for Multiple-Payload Satellite Based on Genetic Algorithm Strengthened Deep Reinforcement Learning." Advances in Space Research, Jul. 2025, https://doi.org/10.1016/j.asr.2025.07.047.