DocumentCode
1596486
Title
A Modified Genetic Algorithm for the Postal Vehicle Scheduling Problem
Author
Wu, XiuLi ; Li, Sujian
Author_Institution
Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Volume
1
fYear
2011
Firstpage
133
Lastpage
136
Abstract
The postal vehicle scheduling problem plays an important role in the post services management. Firstly, the formulation of the postal vehicle scheduling problem is proposed. Secondly, a modified genetic algorithm is put forward. In the algorithm, an encoding ways with trip delimiters are designed. Roulette selection method integrated with elitist strategy is used to select the better chromosomes to generate a new population. The crossover procedure and the mutation procedure are discussed to satisfy the special encoding ways. Finally, the experiment with the benchmark instances shows the effectiveness and efficiency of the proposed approach with which the postal vehicle scheduling problem can be solved easily.
Keywords
genetic algorithms; postal services; scheduling; transportation; crossover procedure; elitist strategy; genetic algorithm; mutation procedure; post services management; postal vehicle scheduling problem; roulette selection; Algorithm design and analysis; Biological cells; Educational institutions; Encoding; Genetic algorithms; Postal services; Vehicles; genetic algorithm; the post services management; vehicle scheduling problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4577-0676-9
Type
conf
DOI
10.1109/IHMSC.2011.38
Filename
6038164
Link To Document