A Matlab-based Hyper-Heuristic framework. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000413
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Updated
Feb 11, 2022 - MATLAB
A Matlab-based Hyper-Heuristic framework. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000413
Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
An easy-to-use and modular Python library for the Job Shop Scheduling Problem (JSSP)
Job scheduling with deadlines using quantum annealing
⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.
An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model
Implementation of job-shop scheduling problem using C#.
A Python library for implementing and testing algorithm for Job-Shop Scheduling problem.
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.
A benchmarking repo with various solution methods to various machine scheduling problems
Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
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