Pretrained Cost Model for Distributed Constraint Optimization Problems

Related tags

Deep Learning GAT-PCM
Overview

Pretrained Cost Model for Distributed Constraint Optimization Problems

Requirements

  • PyTorch 1.9.0
  • PyTorch Geometric 1.7.1

Directory structure

  • baselines contains the implementation of all compared baselines
  • core contains the core data structures to run the simulation
  • entry contains the entry point of each algorithm
  • heuristics contains the implementation of GAT-PCM-boosted algorithms
  • pretrain contains the implementation of pretraining stage

How to run the code

See the command line interface of run_*.py in entry.

Example:

python -um entry.run_dsa -pth problem.xml -c 1000 -p 0.8

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