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 :
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