Trained model is available in the tsp_transfer_... dirs.

To test the model, use the load_all_rewards in Post_process dir.

To train the model, run train_motsp_transfer.py

To visualize the obtained Pareto Front, the result should be visulaized using Matlab.

matlab code is in the .zip file. It is in the " MOTSP_compare_EMO/Problems/Combinatorial MOPs/compare.m ". It is used to produce the figures in batch.

First you need to run the train_motsp_transfer.py to train the model.

Run the load_all_rewards.py to load and test the model. It also converts the obtained Pareto Front to the .mat file

Run the Matlab code to visualize the Pareto Front and compare with NSGA-II and MOEA/D