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Comparison of Randomized Solutions for Constrained Vehicle Routing Problem
Date
2020-06-01
Author
Demirci, Ibrahim Ethem
Ozdemir, Saziye Ece
Yayla, Oğuz
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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© 2020 IEEE.In this short paper, we study capacity constrained vehicle routing problem (CVRP) and its solution by randomized Monte Carlo methods. For solving CVRP we use some pseudorandom number generators commonly used in practice. We use linear, multiple-recursive, inversive and explicit inversive congruential generators and obtain random numbers from each to provide a route for CVRP. Then we compare the performance of pseudorandom number generators with respect to the total time the random route takes. We also constructed an open-source library github.com/iedmrc/binary-cws-mcs on solving CVRP by Monte-Carlo based heuristic methods.
URI
https://hdl.handle.net/11511/69851
DOI
https://doi.org/10.1109/icecce49384.2020.9179407
Collections
Graduate School of Applied Mathematics, Conference / Seminar
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I. E. Demirci, S. E. Ozdemir, and O. Yayla, “Comparison of Randomized Solutions for Constrained Vehicle Routing Problem,” 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69851.