Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Improved Particle Swarm Optimization for Designing Tobacco Logistics Scheme

Authors
Li Zhao, Yong Chen
Corresponding Author
Li Zhao
Available Online May 2014.
DOI
https://doi.org/10.2991/lemcs-14.2014.78How to use a DOI?
Keywords
tobacco logistics; vehicle routing problem; combined nonlinear optimization; particle swarm optimization
Abstract
With the minimal delivery cost as the managing target for the tobacco enterprise, the common mathematic model of tobacco logistics is built and the optimal solution is given in this paper. The main problem in tobacco logistics is to choose an effective vehicle routing, which can be solved by particle swarm optimization when the number of tobacco traders is small enough. But with the increasing of tobacco traders, the vehicle routing scheme is becoming more complicated. By introducing the cross-over operation and the mutation operation to the particles, the optimization capability is improved remarkably to achieve the best tobacco delivery method. The example shows that the optimal tobacco delivery routes can be obtained by the improved particle swarm optimization effectively comparing with genetic algorithms.
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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.78How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Zhao
AU  - Yong Chen
PY  - 2014/05
DA  - 2014/05
TI  - Improved Particle Swarm Optimization for Designing Tobacco Logistics Scheme
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.78
DO  - https://doi.org/10.2991/lemcs-14.2014.78
ID  - Zhao2014/05
ER  -