Vehicle Driving Network Routing Optimization Algorithm Based on Drosophila Algorithm

DOI

10.2991/mecae-18.2018.116How to use a DOI?

Keywords

Vehicle routing; optimization; drosophila algorithm

Abstract

In order to discuss the vehicle routing problem, which is a combination optimization problem, we apply drosophila algorithm. First of all, we introduces the fundamental concepts of drosophila algorithm and describes the specific implementation steps. Secondly, we analyze vehicle routing problem and mathematical model and do a simulation experiment to explore the effect and performance of drosophila algorithm. The experimental results show that the improved drosophila algorithm, compared with the common drosophila algorithm, can improve the solution accuracy indeed, and it efficiently solves the vehicle routing problem. As a result, it can be concluded that, in order to effectively solve the typical combination optimization problem - vehicle routing problem, it is necessary to apply artificial intelligent method, which has rather good performance and it can improve the accuracy of algorithm.

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  - Xiaoxu Xiao
PY  - 2018/03
DA  - 2018/03
TI  - Vehicle Driving Network Routing Optimization Algorithm Based on Drosophila Algorithm
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 365
EP  - 370
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.116
DO  - 10.2991/mecae-18.2018.116
ID  - Xiao2018/03
ER  -