This paper studies the problem of simultaneously smoothing production and inventory and setting advertising levels. The models given are linear programming models, assuming a deterministic ...

Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...

Abstract: This paper discusses a linear programming method based on fuzzy rule inference for building an aeration management model for high performance management of stored grain. This model is ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

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 ...

This is a preview. Log in through your library . Abstract The proper specification of tax liabilities and consumption behavior is a significant problem in designing models for studying firm growth. A ...