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

共 50 条

[41] Optimization of Dynamic Economic Dispatch with Valve-Point Effect Using an Improved Artificial Fish Swarm Algorithm [J].

Chen, Gonggui ;

Gao, Miao ;

Xiao, Xiong .

2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, :468-474

[42] Mechanism isomorphism identification based on artificial fish swarm algorithm [J].

Yi, Huijun ;

Wang, Jianpei ;

Hu, Yongle ;

Yang, Ping .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2021, 235 (21) :5421-5433

[43] A hybrid of artificial fish swarm algorithm and particle swarm optimization for feedforward neural network training [J].

Chen, Huadong ;

Wang, Shuzong ;

Li, Jingxi ;

Li, Yunfan .

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE 2007), 2007,

[44] Improved Artificial Fish-Swarm Algorithm for Solving Multivariable Nonlinear Equations [J].

Wang Dongdong .

2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 1, 2011, :368-371

[45] An Improved Artificial Fish Swarm Algorithm and Its Application in Multiple Sequence Alignment [J].

Yang, Wei-Hong .

JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2014, 11 (03) :888-892

[46] Study on the Application of Improved Artificial Fish Swarm Algorithm in the Initial Alignment of the SINS [J].

Zheng, Zhenyu ;

Gao, Yanbin ;

He, Kunpeng .

INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4, 2013, 263-266 :2277-2281

[47] An adaptive stochastic resonance detection method with a knowledge-based improved artificial fish swarm algorithm [J].

Hao, Jing ;

Huang, Fuyu ;

Shen, Xuejv ;

Jiang, Chundong ;

Lin, Xiaoran .

MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (08) :11773-11794

[48] Twin support vector machine based on improved artificial fish swarm algorithm with application to flame recognition [J].

Gao, Yikai ;

Xie, Linbo ;

Zhang, Zhengdao ;

Fan, Qigao .

APPLIED INTELLIGENCE, 2020, 50 (08) :2312-2327

[49] Improved artificial fish-swarm algorithm based on adaptive vision for solving the shortest path problem [J].

Ma, X.-M., 1600, Editorial Board of Journal on Communications (35) :1-6

[50] Path planning for autonomous surface vessels based on improved artificial fish swarm algorithm: a further study [J].

Zhao, Liang ;

Bai, Yong ;

Wang, Fang ;

Bai, Jie .

SHIPS AND OFFSHORE STRUCTURES, 2023, 18 (09) :1325-1337

← 1 2 3 4 5 →