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Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing
Arxiv
0+阅读 · 11月1日
Self-Labeling the Job Shop Scheduling Problem
Arxiv
0+阅读 · 10月31日
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
Arxiv
0+阅读 · 10月30日
A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles
Arxiv
0+阅读 · 9月27日
Developing an Algorithm Selector for Green Configuration in Scheduling Problems
Arxiv
0+阅读 · 9月13日
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
Arxiv
0+阅读 · 9月4日
LLMs can Schedule
Arxiv
0+阅读 · 8月13日
Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous
Arxiv
0+阅读 · 7月23日
Self-Labeling the Job Shop Scheduling Problem
Arxiv
0+阅读 · 7月8日
Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling
Arxiv
0+阅读 · 6月11日
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
Arxiv
0+阅读 · 5月29日
Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
Arxiv
0+阅读 · 5月23日
Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous
Arxiv
0+阅读 · 5月9日
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement
Arxiv
0+阅读 · 3月22日
Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
Arxiv
0+阅读 · 2月27日
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