Optimization of Multimodal Transportation Network Based on Improved Genetic Algorithm

DOI

10.2991/ammsa-18.2018.33How to use a DOI?

Keywords

multimodal transportation; genetic algorithm; network optimization

Abstract

Mathematical models of multimodal transportation are built by integrating transportation cost, conversion cost and punishment cost of time based the comparison of various modes of transportation. Model solutionalgorithm uses improved Genetic Algorithm added immigration factor, which can avoid the local optimum, ensure the diversity population, and enhance search abilities. Modelsare solved with MATLAB computing platform, and whichwillachievethe optimal network operation scheme of models. Example results show that portlogistics multimodal transportation network operation cost is reduced by 45.8%,so this paper is verified the effectiveness and practicability of the proposed network operation models.

Copyright

© 2018, 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  - Yanlin Zhao
PY  - 2018/05
DA  - 2018/05
TI  - Optimization of Multimodal Transportation Network Based on Improved Genetic Algorithm
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 159
EP  - 164
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.33
DO  - 10.2991/ammsa-18.2018.33
ID  - Zhao2018/05
ER  -