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PPDSP

A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes

This repository contains all source code that can reproduce the comparative experiments in our submission.

Usage

  • Run the script csvio.py to randomly generate the csv files corresponding to the parameters of the instances, which includes requests information, vehicles information, and adjacency matrix of the edges in the road network.
  • Run the script genIns.sh to generate the lp files corresponding to all instances based on the above csv files and the prepared tsp benchmark samples.
  • Use the MIP optimizer CPLEX to solve the generated lp files.

Citation

If you want to cite this study, please cite the preprint introducing them at arXiv:

@misc{arxiv/ZhaCIN22,
  author = {Zha, Aolong and Chang, Qiong and Imura, Naoto and Nishinari, Katsuhiro},
  title = {A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International},
  doi = {10.48550/arXiv.2208.14866},
}