Research on Dynamic Target Distribution Path Planning Based on Improved Artificial Potential Field-Fish Algorithm in Logistics System

DOI

10.2991/emcm-16.2017.258How to use a DOI?

Keywords

Improved potential field; Artificial fish swarm; Optimal path; Logistics distribution; Dynamic target

Abstract

Studied on path planning problem of logistics distribution vehicle in logistics system, and put forward an algorithm of artificial fish Swarm with improved potential field. The paper synthesizes variety of factors and takes the total cost of minimum distribution as goal in order to find out the optimal path between two points under known obstacle environment, and the algorithm meet the position change of user requirements in real time. Firstly, simulation experiments prove the algorithm effect in the logistics system; secondly, compared simple improved potential field algorithm, oil consumption and distance shorten significantly based on artificial fish swarm with potential field. The simulation result shows the new algorithm improves the searching efficiency.

Copyright

© 2017, 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  - Qisong Zhang
AU  - Peng Zhang
PY  - 2017/02
DA  - 2017/02
TI  - Research on Dynamic Target Distribution Path Planning Based on Improved Artificial Potential Field-Fish Algorithm in Logistics System
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SP  - 523
EP  - 527
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.258
DO  - 10.2991/emcm-16.2017.258
ID  - Zhang2017/02
ER  -