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
收藏
页码：243 / 247
页数：5
相关论文
共 50 条
[21]   An Improved Artificial Fish Swarm Algorithm and Its Application to Packing and Layout Problems [J].
Li, Guangqiang ;
Yang, Yawei ;
Zhao, Tinglu ;
Peng, Peixiang ;
Zhou, Yiran ;
Hu, Ying ;
Guo, Chen .
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, :9824-9828
[22]   Optimal chiller loading by improved artificial fish swarm algorithm for energy saving [J].
Zheng, Zhi-Xin ;
Li, Jun-qing ;
Duan, Pei-yong .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2019, 155 :227-243
[23]   An improved artificial fish swarm algorithm for traffic signal control [J].
Lu B. ;
Wang Q. ;
Wang Y. .
International Journal of Simulation and Process Modelling, 2019, 14 (06) :488-499
[24]   An Improved Artificial Fish Swarm Algorithm for Cutting Stock Problem [J].
Song, Chuyi ;
Jiang, Jingqing ;
Bai, Siqin ;
Bao, Lanying .
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, :501-505
[25]   Hybrid Optimization Algorithm lased on Mean Particle Swarm and Artificial Fish Swarm [J].
Zhou, Yongquan ;
Huang, Xingshou ;
Yang, Yan ;
Wu, Jinzhao .
INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (02) :763-777
[26]   Large-scale multi-objective unit commitment optimization based on an improved artificial fish swarm algorithm [J].
Zhang Z. ;
Liu Y. ;
Zhu Y. .
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (08) :100-108
[27]   Application of the Artificial Fish Swarm Algorithm to Well Trajectory Optimization [J].
Sun, Tengfei ;
Zhang, Hui ;
Gao, Deli ;
Liu, Shujie ;
Cao, Yanfeng .
CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS, 2019, 55 (02) :213-218
[28]   Chaos Artificial Fish Swarm Algorithm for Nonlinear Function Optimization [J].
Song Zhiyu ;
Dong Lili .
ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, :1655-1658
[29]   Application of the Artificial Fish Swarm Algorithm to Well Trajectory Optimization [J].
Tengfei Sun ;
Hui Zhang ;
Deli Gao ;
Shujie Liu ;
Yanfeng Cao .
Chemistry and Technology of Fuels and Oils, 2019, 55 :213-218
[30]   Misalignment Fault Prediction of Wind Turbines Based on Improved Artificial Fish Swarm Algorithm [J].
Hua, Zhe ;
Xiao, Yancai ;
Cao, Jiadong .
ENTROPY, 2021, 23 (06)
12345