A Novel GA-BP Based Bidding Prediction Algorithm for Contract Logistics of Road Freight Transportation

DOI

10.2991/erms-18.2018.63How to use a DOI?

Keywords

3PL, contract logistics, road freight transportation, bidding prediction algorithm

Abstract

In this paper, we propose a novel bidding prediction algorithm based on the hybrid GA (Genetic Algorithm) and BP (Back Propagation) model for contract logistics of road freight transportation. Seven factors of GDP, fuel price, market requirement, cargo weight, transportation distance, carrier, and truck specification are concerned as the major factors. According to the nonlinear nature of transportation cost and carriers’ psychological price, the BP neural network is applied to fit the nonlinear features. By training the dataset, GA is good at predicting the short-term bidding prices. In addition, genetic algorithm is integrated into the GA model to improve the long-term searching performance. The hybrid GA-BP algorithm is experimented to be of a good predictor. This study gives implication to 3PL providers that mining previous records with artificial intelligent algorithm is effective and feasible in road freight transportation bidding managements.

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  - Ci-yong Wang
AU  - An-ding Zhu
PY  - 2018/04
DA  - 2018/04
TI  - A Novel GA-BP Based Bidding Prediction Algorithm for Contract Logistics of Road Freight Transportation
BT  - Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
PB  - Atlantis Press
SP  - 357
EP  - 362
SN  - 2352-5398
UR  - https://doi.org/10.2991/erms-18.2018.63
DO  - 10.2991/erms-18.2018.63
ID  - Wang2018/04
ER  -