Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 5, Issue 1


Published
on

February 28, 2020


Pages

47-54


DOI

Article

Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation based on Improved Simulated Annealing Algorithm


Authors

Tao Li Affiliation:
Research Institute of Highway Ministry of Transport, Beijing 100088, China
and Wenyin Yang Affiliation:
Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China


Abstract

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.


Keywords

road transport, swap trailer transport, tractor despatching, random driving time, simulated annealing algorithm, 90C05


Citation

Li, T. & Yang, W. (2020). Solution to chance constrained programming problem in swap trailer transport organisation based on improved simulated annealing algorithm. Applied Mathematics and Nonlinear Sciences, 5(1), 47–54. https://doi.org/10.2478/amns.2020.1.00005

Published by: Engineering Journals

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