iedmrc / binary-cws-mcs

An implementation of "Comparison of Randomized Solutions for Constrained Vehicle Routing Problem" paper

Comparison of Randomized Solutions for Constrained Vehicle Routing Problem

An implementation of the "Comparison of Randomized Solutions for Constrained Vehicle Routing Problem" paper.

Install

To install, just clone the repository and install the dependencies via:

git clone https://github.com/iedmrc/binary-cws-mcs

pip3 install -r requirements.txt

Usage

To run a sample solver:

python3 main.py

Pseudorandom Number Generator

prng.py contains these pseudorandom number generators and generates pseudorandom numbers on the fly, as much as needed:

Lehmers:

• LEHMER_0
• LEHMER_1
• LEHMER_2
• LEHMER_3
• LEHMER_4
• LEHMER_5

Congruential Generators:

• MIXED_CG
• ICG
• EICG

MRG

Solver Class

Solver class needs to be initialized with a problem path (problem_path) and a prng type (prng_type). Problem path must be a type of tsplib95.

Solver class has two solver methods. One is Binary-CWS and the other one is Binary-CWS-MCS. You can call either of these on solver instance, directly. E.g.:

vrp_set_path = './Vrp-Set-E'
problem_path = os.path.join(vrp_set_path, 'E-n30-k3.vrp')

solver = Solver(problem_path)

cost, route = solver.binary_cws_mcs(n=50, distributed=True)

Monte Carlo simulations of Binary-CWS-MCS can be distributed to different cores (processors) easily by setting distributed=TRUE with the help of ray.

Known Issues

• _process method of Solver performs very slow. This may cause Binary-CWS-MCS to take not an affordable time.

Authors

👤 Oğuz YAYLA

• Website: http://www.mat.hacettepe.edu.tr/people/academic/oguz-yayla/index.html
• Twitter: @oguzyayla
• Github: @oguz-yayla

👤 Şaziye Ece ÖZDEMİR

👤 İbrahim Ethem DEMİRCİ

• Website: https://ibrahim.demirci.com
• Twitter: @iedmrc
• Github: @iedmrc

Contribution

Please see CONTRIBUTING file.

📝 License

Copyright © 2020 Oğuz YAYLA, Şaziye Ece ÖZDEMİR, İbrahim Ethem DEMİRCİ.
This project is MIT licensed.

Libraries have their own licences. Please check their page for more details.

Problem Sets: Christofides, N., & Eilon, S. (1969). An Algorithm for the Vehicle-Dispatching Problem. OR, 20(3), 309-318. doi:10.2307/3008733

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