Abstract：The problems of planning and scheduling encompass the process of optimal allocation of resources and tasks within a specific period. Artificial intelligence technology has made significant progess in this field. Large language models, as the representatives of generative artificial intelligence, exhibit formidable capabilities in the field of planning and scheduling. This study divides planning and scheduling into four key phases: user requirement analysis, solution generation, scenario modeling, and optimization algorithm design. It delves into the application of large language model technology at each phase and envisions a comprehensive solution framework built upon contemporary large language model techniques, elucidating how these technologies and frameworks can play a role across the various phases. These technologies have potential development space in solving more larger, complex problems, the research trend based on the large language models is prospected.
陈佳威，陈盈果，吕济民，王斐然，陈英武. 大语言模型在规划与调度问题上的应用[J]. 指挥与控制学报, 2024, 10(6): 740-751.
CHEN Jiawei，CHEN Yingguo，LYU Jiming，WANG Feiran，CHEN Yingwu. The Application of Large Language Models in Planning and Scheduling Problems. Journal of Command and Control, 2024, 10(6): 740-751.
2024, Vol. 10 
