This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

A benchmarking repo with various solution methods to various machine scheduling problems

This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

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

The public benchmark instances of flexible job shop scheduling problem

Solving scheduling problems with constraint programming in Python.

Particle Swarm Optimization to solve the FJSP problem

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

Multi-objective Flexible Job Shop Scheduling Problem with transportation constraint solved with NSGA-II, VNS and improved initialisation