Abstract: This letter develops two distributed algorithms to solve multi-robot task assignment problems (MTAP). We first describe MTAP as an integer linear programming (ILP) problem and then ...

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Abstract: In the field of combinatorial optimization, numerous methods have been developed to address complex problems, including assignment, scheduling, and resource allocation. This paper presents a ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...

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 ...

It took a superstar couples therapist to help me see beyond my anger. The author Daniel Oppenheimer and his wife, Jess, rewatching a recording of their Zoom sessions with the couples therapist and ...

Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...

This repository contains a streamlined implementation of RL-Enabled Distributed Assignment (REDA), the algorithm described to solve sequential assignment problems in 'Multi-Agent Reinforcement ...

Artificial Intelligence is reshaping the job application process, simplifying some aspects — and creating new potential frictions in others. The introduction of the technology to the hiring and ...