This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
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Updated
Mar 27, 2023 - Python
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
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'
A benchmarking repo with various solution methods to various machine scheduling problems
The public benchmark instances of flexible job shop scheduling problem
This project involves using Genetic Algorithm to solve the dynamic scheduling problem of flexible Job Shop production.
Modeling and solving job shop problems with constraint programming in Python.
Solving flexible job-shop scheduling problem to minimize mean flow time using arithmetic optimization algorithm and rao-1 algorithm.
Particle Swarm Optimization to solve the FJSP problem
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