This project involves using Genetic Algorithm to solve the dynamic scheduling problem of flexible Job Shop production.

python-lekin: Flexible Supply Chain Planning and Scheduler

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.

Using Heuristic Rules, Meta-Heuristic and Hyper-Heuristic approach to solve Job Shop Scheduling Problem.

SEAGE (Search Agents) is a hyper-heuristic framework for metaheuristic collaboration.

Job Shop Scheduling metaheuristics

A MRP application for Job Shops, Machine Shops and Fabrication shops.

A JobShop scheduling using Genetic Algorithm

Jobshop using OR tools and Flask

Job Shop Scheduling Problem using Simulated Annealing in Python

Multi-objective job shop scheduling system using NSGA-II algorithm to optimize makespan, energy costs, and tardiness simultaneously. Features energy-aware scheduling with time-of-use tariffs and Pareto front visualization

Provide code and algorithms in scheduling following in the student textbook

A minimal jobshop planner

Job-Shop Scheduling Problem with Mixed Integer Optimization. Formulation and implementation in Julia Gurobi.

Research code for flow shop, job shop and open shop scheduling problems

Genetic algorithm with a giffler thompson algorithm for JSSP

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

Job shop constraint optimization/scheduling using Google OR Tools

Particle Swarm Optimization to solve the FJSP problem