An effective multi-agent-based graph reinforcement learning method for solving flexible job shop scheduling problem

Lanjun Wan; Long Fu; Changyun Li; Keqin Li

doi:10.1016/j.engappai.2024.109557

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An effective multi-agent-based graph reinforcement learning method for solving flexible job shop scheduling problem

Lanjun Wan Long Fu Changyun Li Keqin Li

Year: 2024 Journal: Engineering Applications of Artificial Intelligence Vol: 139 Pages: 109557-109557 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2024.109557

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Keywords:

Computer science Reinforcement learning Job shop scheduling Graph Scheduling (production processes) Mathematical optimization Artificial intelligence Theoretical computer science Schedule

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Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Manufacturing and Logistics Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optimization and Search Problems

Physical Sciences → Computer Science → Computer Networks and Communications

An effective multi-agent-based graph reinforcement learning method for solving flexible job shop scheduling problem

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