Linear programming is a method of finding the best ... highest or lowest value of the objective function. Formulating a LP model requires identifying the elements of your problem, such as decision ...

6. Conclusion We presented a model that uses linear programming to solve an operational problem in a software company by determining how many different projects, it should take in a given period to ...

Linear programming is a mathematical technique that can be used to make AI models more transparent. It is used to optimize a linear function subject to linear constraints. Linear programming can ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex ... To address this shortcoming, we take a foundation model training approach, where we train a single deep learning model on ...

Abstract: The bus company mainly relies on the experienced scheduling ... In this paper, we propose a vehicles scheduling model called MILPS (Mixed-Integer Linear Programming Model of Scheduling) to ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

and development of data needed for the refinery linear programming (LP) model. An operations planning and economics improvement project at ConocoPhillips's Lake Charles, La., refinery successfully ...