Freight Information Matching Based on Quantum Evolutionary Algorithm

DOI

10.2991/iconfem-16.2016.21How to use a DOI?

Keywords

Freight Information Matching;Quantum Evolutionary Algorithm;Genetic Algorithm

Abstract

In order to improve the efficiency of freight vehicle and cargo matching, a mathematical model was established, which describes target and the related constraints, and quantum evolutionary algorithm was proposed to solve this matching problem. In the experiment, improved quantum evolutionary algorithm was compared with the standard genetic algorithm, and the algorithm parameters were optimized. Experiment results show that quantum evolutionary algorithm has better convergence speed, accuracy and stability, which can efficiently get an optimal freight supply and demand matching plan.

Copyright

© 2016, 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  - Xiangwei Mu
AU  - Yan Chen
AU  - Haixia Zhao
PY  - 2017/01
DA  - 2017/01
TI  - Freight Information Matching Based on Quantum Evolutionary Algorithm
BT  - Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iconfem-16.2016.21
DO  - 10.2991/iconfem-16.2016.21
ID  - Mu2017/01
ER  -