Sparrow Search Algorithm with Multiple Strategies Fusion
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The search ability of the sparrow search algorithm is easy to decline due to insufficient diversity of the initialization population, and the algorithm is easy to fall into local optimal in the late search period. In view of these problems, a multi-strategy fusion sparrow search algorithm (ISSA) is proposed. Specifically, the high-dimensional Sine chaotic mapping is introduced to initialize the population in the algorithm’s initialization stage, so as to improve the quality of the initial population and enhance the diversity of the population. Then, the attenuation factor is introduced in the discoverer stage, and the adaptability of the attenuation factor balances the performance of the early global search and the later local optimization. Finally, the Cauchy mutation and change selection strategy are introduced so that the searching individual can jump out of the local limit to continue the search and enhance the local search ability. Six benchmark test functions are randomly selected, and the experimental results verify that ISSA has been effectively improved compared with the original algorithm in terms of finding the optimal value.

    Reference
    Related
    Cited by
Get Citation

王辉,童楠,符强.多策略融合的麻雀搜索算法.计算机系统应用,2023,32(6):159-165

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 07,2022
  • Revised:November 30,2022
  • Adopted:
  • Online: April 20,2023
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063