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CreatDisjunctiveGraph.py

CreatDisjunctiveGraph.py

 
 

DDQN.py

DDQN.py

 
 

DQN.py

DQN.py

 
 

DuelingDQN.py

DuelingDQN.py

 
 

GA_traniner.py

GA_traniner.py

 
 

PoissonArrival.py

PoissonArrival.py

 
 

README.md

README.md

 
 

clItinerary.py

clItinerary.py

 
 

clJob.py

clJob.py

 
 

clMachine.py

clMachine.py

 
 

herisDispRules.py

herisDispRules.py

 
 

insert_data_generator.py

insert_data_generator.py

 
 

rescheduleMachineFault.py

rescheduleMachineFault.py

 
 

rescheduleNewJobArrival.py

rescheduleNewJobArrival.py

 
 

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ETDQN

This repository is for the paper "Evolutionary Trainer-based Deep Q-Network for Dynamic Flexible Job Shop Scheduling"

Requirements

  • Python 3.9.
  • numPy
  • Pytorch
  • networkx

Run

  • Run GA_traniner.py to perform the training process with GA.
  • Run schedulingNewJObArrival.py to perform comparative experiments in new job arrival.
  • Run schedulingMachineFault.py to perform comparative experiments in machine failure.

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Evolutionary Trainer-based Deep Q-Network for Dynamic Flexible Job Shop Scheduling

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