Job Shop Scheduling Problem
PulseAugur coverage of Job Shop Scheduling Problem — every cluster mentioning Job Shop Scheduling Problem across labs, papers, and developer communities, ranked by signal.
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New PORL approach combines online and offline RL for job shop scheduling
Researchers have introduced PORL, a novel approach for the Job Shop Scheduling Problem (JSSP) that combines online reinforcement learning pretraining with offline fine-tuning. This hybrid method leverages simulation-bas…
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New hyper-heuristics reduce job shop scheduling costs
Researchers have developed a new method for job shop scheduling that uses learning-assisted hyper-heuristics to select among dispatching rules. This approach aims to reduce the computational cost of generating labels, w…
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AI research proposes linear complexity graph for scalable production scheduling
Researchers have developed a new graph framework for the Job Shop Scheduling Problem that uses feature-based homogenization. This approach projects different node roles into a shared latent space, enabling a standard ho…