Planned Route Optimization For Real-Time Vehicle Routing

Author(s):  
Soumia Ichoua ◽  
Michel Gendreau ◽  
Jean-Yves Potvin
1998 ◽  
Vol 1617 (1) ◽  
pp. 171-178 ◽  
Author(s):  
How-Ming Shieh ◽  
Ming-Der May

The problem of the on-line version of the vehicle routing problem with time windows (VRPTW) differs from the traditional off-line problem in the dynamical arrival of requests and the execution of the partial tour during the run time. The study develops an on-line optimization-based heuristic that combined the concepts of the “on-line algorithm,” “anytime algorithm,” and local search heuristics to solve the on-line version of VRPTW. The solution heuristic is evaluated with modified Solomon’s problems. By comparing with these benchmark problems, the different results between on-line and off-line algorithms are indicated.


2012 ◽  
Vol 170-173 ◽  
pp. 3695-3698
Author(s):  
Jun Ma ◽  
Li Ying Zhang

The vehicle routing planning in the process of logistics is a hot issue. There is a lack of traditional genetic algorithm used to solve this issue, so the taboos is introduced to improve it. The improved genetic algorithm based on taboos get high-search speed compared to the traditional genetic algorithm, and this improvement is verified by the example.


2005 ◽  
Vol 6 (2) ◽  
pp. 178-188 ◽  
Author(s):  
S. Kim ◽  
M.E. Lewis ◽  
C.C. White

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