Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation based on Improved Simulated Annealing Algorithm
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28. Feb. 2020
Über diesen Artikel
Online veröffentlicht: 28. Feb. 2020
Seitenbereich: 47 - 54
Eingereicht: 12. Nov. 2019
Akzeptiert: 14. Jan. 2020
DOI: https://doi.org/10.2478/amns.2020.1.00005
Schlüsselwörter
© 2020 Tao Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Swap trailer transport organisation problem originates from the traditional vehicle routing problem (VRP). Most of the studies on the problems assume that the travelling times of vehicles are fixed values. In this paper, the uncertainties of driving times are considered and a chance constrained programming problem is proposed. An improved simulated annealing algorithm is used to solve the problem proposed. The model and algorithm described in this paper are studied through a case study, and the influence of uncertainty on the results is analysed. The conclusion of this study provides theoretical support for the practice of trailer pickup transport.