Tsp Hopfield Tank

Implementation of Hopfield-Tank model for TSP
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  • Hopfield-Tank network
  • 'Heatmap image' generation for given step
  • 'Heatmap over time' video generation (very usefull for debuging) Heatmaps over time



Programs supports commandline interface which allows to run network once, or multiple times in a row. Properties of the network can be configured with arguments

  -h, --help            show this help message and exit
  --steps [STEPS]       Number of steps to take.
  --freq [FREQ]         Frequency of taking snapshots.
  --seeds [SEEDS [SEEDS ...]]
                        Seed for random. Defines whole run.
  --size-adjs [SIZE_ADJS [SIZE_ADJS ...]]
                        specifies value of size adjustment
  --tag [TAG]           tag added to name


  • Matplotlib
  • numpy
  • ffmpeg

Theoretical remarks

Implementation of Hopfield-Tank model for TSP. Project for my University Course.

Current version requires careful tuning of parameters to create feasible solutions. Look up page 16, second paragraph in following paper: http://www.iro.umontreal.ca/~dift6751/paper_potvin_nn_tsp.pdf

Based on following article by John J Hopfield and D W Tank: https://www.researchgate.net/publication/19135224_Neural_Computation_of_Decisions_in_Optimization_Problems Mainly equations and constants from 4'th paragraph were used.


  • Maciej Staniuk
  • Mateusz Albecki
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