A Logistics Enterprises Vehicle Scheduling Method Based on Genetic Algorithm

DOI

10.2991/asei-15.2015.160How to use a DOI?

Keywords

Logistics enterprise. Genetic algorithm. Vehicle scheduling

Abstract

This paper deals with the genetic algorithm to solve the vehicle scheduling problem of logistics enterprises. It established the mathematical model of vehicle scheduling problem first. Then determined the method of population initialization and the representation of fitness function, in consideration of GA's premature convergence to local values and other defects for genetic algorithm itself, this paper improved the genetic algorithm mutation probability. Finally, it carried out the simulation experiment, and the result shows that the improved genetic algorithm has a good effect on improving the algorithm quality and search efficiency.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Chen
AU  - Xiaoliang Song
AU  - Xiaowei Han
AU  - Dongzheng Wang
PY  - 2015/05
DA  - 2015/05
TI  - A Logistics Enterprises Vehicle Scheduling Method Based on Genetic Algorithm
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 820
EP  - 823
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.160
DO  - 10.2991/asei-15.2015.160
ID  - Chen2015/05
ER  -