Reinforcement learning approach for job shop scheduling

An OpenAi Gym environment for the Job Shop Scheduling problem.

Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

A modular Python library for creating, solving, and visualizing job shop scheduling problems.

Job Shop Scheduling Problem via Ant Colony Optimization

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

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

A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer

A Gymnasium Environment for the Job Shop Problem Using the Disjunctive Graph Approach.

This repository provides an OpenAI Gym-compatible environment for production scheduling tasks, designed to benchmark reinforcement learning agents in job shop and flow shop settings.

Tabu search solver for job shop scheduling problem

Solving Flexible Job Shop Scheduling by learning to dispatch with Deep Reinforcement Learning

Simple Implementation of Applying Genetic Algorithm to JSSP in Python

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

OPS scheduling problem models and instances.

This repository hosts the code in support of the article "Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer", published on Nature Scientific Reports as part of the "Quantum information and computing" guest edited collection.

A Constraint Programming Based Job-Shop Scheduling Reinforcement Learning Environment

Solving flexible job-shop scheduling problem to minimize mean flow time using arithmetic optimization algorithm and rao-1 algorithm.

A Hybrid Constrained Programming with Genetic Algorithm for the Job Shop Scheduling Problem