Improved Particle Swarm Optimization for Designing Tobacco Logistics Scheme

DOI

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.

Copyright

© 2014, 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  - Li Zhao
AU  - Yong Chen
PY  - 2014/05
DA  - 2014/05
TI  - Improved Particle Swarm Optimization for Designing Tobacco Logistics Scheme
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 331
EP  - 334
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.78
DO  - 10.2991/lemcs-14.2014.78
ID  - Zhao2014/05
ER  -