Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
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Updated
Jul 1, 2024 - Python
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
python-lekin: Flexible Supply Chain Planning and Scheduler
⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.
Apply DQN to OR-Library ft-06 problem, which gets makespan 58.
Reinforcement learning approach for job shop scheduling
Genetic algorithm with a giffler thompson algorithm for JSSP
Genetic algorithm with a giffler thompson algorithm for JSSP
Repository for pratical work for Natural Computation discipline.
A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R package with an API around it.
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