A priori optimization with recourse for the vehicle routing problem with hard time windows and stochastic service times

2016 ◽  
Vol 249 (1) ◽  
pp. 55-66 ◽  
Author(s):  
F. Errico ◽  
G. Desaulniers ◽  
M. Gendreau ◽  
W. Rei ◽  
L.-M. Rousseau
2018 ◽  
Vol 7 (3) ◽  
pp. 223-251 ◽  
Author(s):  
F. Errico ◽  
G. Desaulniers ◽  
M. Gendreau ◽  
W. Rei ◽  
L.-M. Rousseau

Author(s):  
Hongguang Wu ◽  
Yuelin Gao ◽  
Wanting Wang ◽  
Ziyu Zhang

AbstractIn this paper, we propose a vehicle routing problem with time windows (TWVRP). In this problem, we consider a hard time constraint that the fleet can only serve customers within a specific time window. To solve this problem, a hybrid ant colony (HACO) algorithm is proposed based on ant colony algorithm and mutation operation. The HACO algorithm proposed has three innovations: the first is to update pheromones with a new method; the second is the introduction of adaptive parameters; and the third is to add the mutation operation. A famous Solomon instance is used to evaluate the performance of the proposed algorithm. Experimental results show that HACO algorithm is effective against solving the problem of vehicle routing with time windows. Besides, the proposed algorithm also has practical implications for vehicle routing problem and the results show that it is applicable and effective in practical problems.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 77208-77221 ◽  
Author(s):  
Xiaoyuan Yan ◽  
Boping Xiao ◽  
Yiyong Xiao ◽  
Zhonghao Zhao ◽  
Lin Ma ◽  
...  

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