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 ...

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Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

Quantum Technologies Group, Carnegie Mellon University, Pittsburgh, PA, United States In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie ...

Abstract: In modern coding theory, linear code constructions are mainly used. Their properties and fundamental theoretical limits are well studied, and they are successfully applied to different ...

The Stacked Linear Algebra Graph implements a directed graph with a weight on each vertex and edge. The graph models vertices and adjacency matrices as GraphBLAS sparse vectors and matrices ...