In the AI for TSP competition we try to solve optimization problems using machine learning.

Related tags

Deep Learning reinforcement-learning surrogate-based-optimization
Overview

AI for TSP Competition

Goal

In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted at the Data Science meets Optimization workshop at IJCAI21 and consists of two tracks:

  • Online supervised learning using surrogate models
  • Reinforcement learning

The goal of this competition is to strengthen the relation between the machine learning field and the optimization field. You can learn more about the competition here.

Prizes

Cash prizes will be announced soon!

Timeline

  • May 7: Start of the tryout period
  • May 21: Competition start
  • July 5: Submission deadline (validation)
  • July 12: Submission deadline (test)
  • August 9: Winners are contacted privately
  • August 21/22: Public announcement of winners

Whitepaper

For more details about the competition, please refer to this document.

Official Documentation

Check out our Documentation

Announcements

Check out our Announcements

FAQ

Check out our FAQ

Slack Channel

Check out our Slack Channel

Dependencies

  • Python=3.8 (should be OK with v >= 3.6)
  • PyTorch=1.8 (track 2 only)
  • Numpy=1.20
  • bayesian-optimization=1.1.0 (track 1 only)
  • Pandas=1.2.4
  • Conda=4.8.4 (optional)

Please check environment.yml

Acknowledgments

Special thanks to https://github.com/pemami4911/neural-combinatorial-rl-pytorch for the implemetation of Neural CO used as part of this repository.

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Comments
  • can't run baseline_rl.py

    can't run baseline_rl.py

    I wasn't able to run the baseline_rl.py. When I run the code with from_file=True, and providing x_dir and adj_dir,

    • First, I got a file not found error for the adj file. I guess this occurs as adj files start with adj- in the validation set. However, this is not specified in batch_env_rl.
    • Even though I rename the adj file with the same name of the x file, I got the following error on line 44 of 'batch_env_rl', 'ValueError: could not broadcast input array from shape (20,3) into shape (50,3)', which seems that the number of nodes are not read from file, instead, read n_nodes argument in the constructor.
    • After passing 'n_nodes' argument with 'from_file=True', I still got the error Sizes of tensors must match except in dimension 1. Got 32 and 1 in dimension 0 (The offending index is 1) on line 54 in 'train_baseline.py'.
    opened by cihantugrulcicek 4
  • Missing time-window invalidates feasibility?

    Missing time-window invalidates feasibility?

    https://github.com/paulorocosta/ai-for-tsp-competition/blob/b71ac882125e241c39836494ad41b97bfce2d4fb/op_utils/op.py#L85

    When a time-window is missed, shouldn't the feasibility remain True?

    opened by hennimohammed 1
Owner
Paulo da Costa
Paulo da Costa
GitHub https://www.tspcompetition.com/
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