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Random Sequences in Vehicle Routing Problem
Date
2023-01-01
Author
Gülşen, Mehmet Emin
Yayla, Oğuz
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In this paper, we study the Capacitated Vehicle Routing Problem (CVRP) and implemented a simulation-based algorithm with different random number generators. The Binary-CWS-MCS algorithm has been integrated with six different random number generators and their variations. The random number generators used in this study gathered with respect to two perspectives, the first is to compare the mostly known and used RNGs in simulation-based studies which are Linear Congruential Generator (LCG) and its shift variant, Multiple Recursive Generator (MRG) and its shift variant and the second perspective is based on the improvements in the random number generator algorithms which are Mersenne Twister Pseudo Random Generator (MT) and Permuted Congruential Generator (PCG). The results of experiments showed that the PCG and MT pseudo random generators can generate better results than the other random number generators.
URI
http://dx.doi.org/10.1007/978-3-031-32412-3_32
https://hdl.handle.net/11511/108121
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
DOI
https://doi.org/10.1007/978-3-031-32412-3_32
Collections
Graduate School of Applied Mathematics, Article
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M. E. Gülşen and O. Yayla, “Random Sequences in Vehicle Routing Problem,”
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
, vol. 13858, no. 1, pp. 159–170, 2023, Accessed: 00, 2024. [Online]. Available: http://dx.doi.org/10.1007/978-3-031-32412-3_32.