A novel global artificial fish swarm algorithm with improved chaotic search

被引：2
|
作者：
Xu, Ying [1 ,2 ]
Chen, Hongan [2 ]
机构：
[1] South China Univ Technol, Coll Automat, Guangzhou 510640, Guangdong, Peoples R China
[2] Wuyi Univ, Coll Informat & Engn, Jiangmen 520020, Peoples R China
来源：
MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4 | 2012年 / 538-541卷
关键词：
artificial fish swarm algorithm; global optimum; chaotic search; differential evolution;
D O I：
10.4028/www.scientific.net/AMR.538-541.2594
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The artificial fish swarm algorithm, it may be trapped in local optimum in the later evolution period and its search accuracy is dependent on step length which is hard to keep balance between rapidity and accuracy. Aimed at the defects of AFSA, a novel global artificial fish swarm algorithm is proposed in this paper, in which normal chaotic search on earlier stage is modified, and a differential evolution with improved chaos search was proposed to lead artificial fish into global optimum value. The experimental results show that the proposed algorithm is not only superior to traditional one but also can make the result greater.
引用
收藏
页码：2594 / +
页数：2
相关论文
共 50 条
  • [1] Hybrid Algorithm of Improved Beetle Antenna Search and Artificial Fish Swarm
    Ni, Jian
    Tang, Jing
    Wang, Rui
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [2] Improved Artificial Fish Swarm Algorithm
    Zhang Chao
    Zhang Feng-ming
    Li Fei
    Wu Hu-sheng
    [J]. PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 748 - +
  • [3] The Artificial Fish Swarm Algorithm Improved by Fireworks Algorithm
    Mingyue Liyi Zhang
    Teng Fu
    Hongbo Fei
    [J]. Automatic Control and Computer Sciences, 2022, 56 : 311 - 323
  • [4] The Artificial Fish Swarm Algorithm Improved by Fireworks Algorithm
    Zhang, Liyi
    Fu, Mingyue
    Fei, Teng
    Li, Hongbo
    [J]. AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2022, 56 (04) : 311 - 323
  • [5] An Improved Artificial Fish Swarm Algorithm and Application
    Luan, Xinyuan
    Jin, Biyao
    Liu, Tingzhang
    Zhang, Yingqi
    [J]. COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS, 2014, 462 : 99 - 110
  • [6] An improved artificial fish swarm algorithm and application
    Luan, Xinyuan
    Jin, Biyao
    Liu, Tingzhang
    Zhang, Yingqi
    [J]. Communications in Computer and Information Science, 2014, 462 : 99 - 110
  • [7] An Improved Artificial Fish Swarm Algorithm and Its Application
    Wang, Mantao
    Tang, Haitao
    Mu, Jong
    Wei, Peng
    [J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL (MEICI 2016), 2016, 135 : 24 - 33
  • [8] Fuzzy Clustering with Improved Artificial Fish Swarm Algorithm
    He, Si
    Belacel, Nabil
    Hamam, Habib
    Bouslimani, Yassine
    [J]. INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS, 2009, : 317 - +
  • [9] Improved artificial fish swarm algorithm based on DNA
    [J]. Zhang, Liyi (zhangliyi@tjcu.edu.cn), 1600, Tianjin University (49):
  • [10] An Improved Artificial Fish Swarm Algorithm and Its Application
    Xin, Guan
    Xin, Yin Yi
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 4434 - 4438
12345