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
  • [31] Misalignment Fault Prediction of Wind Turbines Based on Improved Artificial Fish Swarm Algorithm
    Hua, Zhe
    Xiao, Yancai
    Cao, Jiadong
    [J]. ENTROPY, 2021, 23 (06)
  • [32] A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm
    Yazdani, Danial
    Sepas-Moghaddam, Alireza
    Dehban, Atabak
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2016, 15 (02)
  • [33] A Symbiosis-based Artificial Fish Swarm Algorithm
    Liu, Qing
    Odaka, Tomohiro
    Kuroiwa, Jousuke
    Shirai, Haruhiko
    Ogura, Hisakazu
    [J]. 2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 379 - 385
  • [34] A novel global artificial fish swarm algorithm with improved chaotic search
    Xu, Ying
    Chen, Hongan
    [J]. MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4, 2012, 538-541 : 2594 - +
  • [35] Hybrid Algorithm of Improved Beetle Antenna Search and Artificial Fish Swarm
    Ni, Jian
    Tang, Jing
    Wang, Rui
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [36] An Improved Artificial Fish Swarm Algorithm to Solve the Cutting Stock Problem
    Cheng, Chunying
    Bao, Lanying
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2018, 2018, 10878 : 165 - 172
  • [37] Improved Artificial Fish Swarm Algorithm and its Application in System Identification
    Zhu, Junlin
    Liu, Hui
    Wang, Zulin
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012), 2012, 23
  • [38] Analysis of Network Coverage Optimization Based on Feedback K-Means Clustering and Artificial Fish Swarm Algorithm
    Feng, Yingying
    Zhao, Shasha
    Liu, Hui
    [J]. IEEE ACCESS, 2020, 8 (08): : 42864 - 42876
  • [39] Two Dimension Threshold Image Segmentation Based on Improved Artificial Fish-Swarm Algorithm
    Jiang Suhua
    Wang Dongdong
    Liu Chunqiang
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING, 2015, 22 : 656 - 659
  • [40] A Novel WSNs Localization Algorithm Based on Artificial Fish Swarm Algorithm
    Yang, Xiaoying
    Zhang, Wanli
    Song, Qixiang
    [J]. INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2016, 12 (01) : 64 - 68
12345