Improved Particle Swarm Optimization for Designing Tobacco Logistics Scheme
Li Zhao, Yong Chen
Available Online May 2014.
- https://doi.org/10.2991/lemcs-14.2014.78How to use a DOI?
- tobacco logistics; vehicle routing problem; combined nonlinear optimization; particle swarm optimization
- 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.
- 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 -