Research on logistics handing agv picking route optimization method based on improved genetic algorithm

DOI

10.2991/mmebc-16.2016.468How to use a DOI?

Keywords

Logistics handing agv; picking route; genetic algorithm

Abstract

Establish logistics handing agv operating environment model by using the grid method, and the picking route optimization model based on grid environment model. By analyzing the qualitative factors in agv "goods to person" picking system, present an improved genetic algorithm combining qualitative and quantitative factors, and use the algorithm to solve the picking route optimization model, it can reduce the set of feasible solutions, and get the optimal path which is more fit the actual. Finally through many experiments by using matlab software, the improved genetic algorithm can search a optimized route.

Copyright

© 2016, 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  - Juntao Li
AU  - Yan Hao
AU  - Yinhong Liu
PY  - 2016/06
DA  - 2016/06
TI  - Research on logistics handing agv picking route optimization method based on improved genetic algorithm
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2323
EP  - 2328
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.468
DO  - 10.2991/mmebc-16.2016.468
ID  - Li2016/06
ER  -