Learning how to implement GA and NSGA-II for job shop scheduling problem in python

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

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

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

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

Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"

Tabu search solver for job shop scheduling problem

Implementation of job-shop scheduling problem using C#.

An Introduction to Optimization Algorithms

This is a program to solve the job shop scheduling problem by using the parallel genetic algorithm

The source code examples for the book "An Introduction to Optimization Algorithms"

Job shop Scheduling using Genetic Algorithm

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

A hybrid genetic algorithm for the job shop scheduling problem