Optimization of Sorting Activities in Automatic Storage and Retrieval Systems Based on Improved Artificial Fish Swarm Algorithm

被引：0

作者：

Gao, Xiaoyu ^{[1
]}

Yu, Lei ^{[1
]}

He, Shangyang ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Automat, Wuhan, Hubei, Peoples R China

来源：

2018 3RD INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION ENGINEERING (ICRAE) | 2018年

关键词：

picking operation; automatic storage; artificial fish swarm algorithm; travelling salesman problem; algorithm optimization; HYBRID;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

For the problem of picking path planning in automatic storage, the traditional artificial fish swarm algorithm is improved to be used to optimize the picking system. In the algorithm, the calculation of dynamic parameters is added, so that the field of view and step size of the algorithm are dynamically changed to adapt to the convergence process of the algorithm; the chaotic model is added for initialization to obtain a better initial individual distribution. Experiments show the improved algorithm is feasible in the sorting activities in automatic storage and retrieval systems.

引用

页码：243 / 247

页数：5

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