A Matlab-based Hyper-Heuristic framework. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000413

Job scheduling with deadlines using quantum annealing

Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).

A modular Python library for creating, solving, and visualizing Job Shop Scheduling Problems.

⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.

Implementation of job-shop scheduling problem using C#.

A Python library for implementing and testing algorithm for Job-Shop Scheduling problem.

An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model

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. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.