Article
Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation based on Improved Simulated Annealing Algorithm
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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
T. Li and W. Yang, “Solution to chance constrained programming problem in swap trailer transport organisation based on improved simulated annealing algorithm,” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 1, pp. 47–54, 2020, doi: 10.2478/amns.2020.1.00005.
Li T, Yang W. Solution to chance constrained programming problem in swap trailer transport organisation based on improved simulated annealing algorithm. Applied Mathematics and Nonlinear Sciences. 2020;5(1):47–54. doi:10.2478/amns.2020.1.00005.
Li, T. and 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), pp. 47–54. Available at: https://doi.org/10.2478/amns.2020.1.00005.
Li, Tao, and Wenyin Yang. “Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation Based on Improved Simulated Annealing Algorithm.” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 1, 2020, pp. 47–54. https://doi.org/10.2478/amns.2020.1.00005.
Li, Tao, and Wenyin Yang. “Solution to Chance Constrained Programming Problem in Swap Trailer Transport Organisation Based on Improved Simulated Annealing Algorithm.” Applied Mathematics and Nonlinear Sciences 5, no. 1 (2020): 47–54. https://doi.org/10.2478/amns.2020.1.00005.
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Published by: Engineering Journals


