An Improved Genetic Algorithm in Vehicle Dispactcher

Article Preview

Abstract:

The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2223-2226

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhang Liping etc. Improved genetic algorithm of vehicle routing problem [J]. Journal of systems engineering theory and practice, 2007, 8(8)79-84.

Google Scholar

[2] Zhao Yanwei, Mr. Wu, etc. Genetic algorithm of vehicle routing problem solving method [J]. Journal of computer integrated manufacturing system, 2006, 10 (3): 303-303.

Google Scholar

[3] Zhang Jingling etc. Multiple models dynamic demand modeling and optimization of vehicle routing problems [J]. Journal of computer integrated manufacturing system, 2010 (3): 543-543.

Google Scholar

[4] Zhang Haigang etc. Two-way vehicle scheduling problem based on immune genetic algorithm to realize [J]. Journal of systems engineering, 2007, 22 (6): 649-654.

Google Scholar