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A Binary Particle Swarm Optimization with the Hybrid S-Shaped and V-Shaped Transfer Function

  • Lei Jiang
  • Jianhua LiuEmail author
  • Dongli Cui
  • Guannan Bu
  • Dongyang Zhang
  • Renyuan Hu
Conference paper
  • 25 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1107)

Abstract

Binary Particle Swarm Optimization has too strong global search ability and lacks local search ability in the later stage, because it has a unreasonable transfer function. According to the analysis of the transfer function, the hybrid transfer functions of S-shaped and V-shaped function has been proposed to improve the BSPO, and an adaptive mutation method is used to obtain a new binary PSO with hybrid transfer function. The new Binary PSO has global search ability in the early stage, and has local search ability in the later stage. The experiments conducted have proved that it outperforms BPSO.

Keywords

BPSO Transfer functions Mutation operation Feature selection 

Notes

Acknowledgement

In this paper, the research was supported by Fujian Provincial Natural Science Foundation Projects (2019J01061137) and Fujian University of Technology Development Fund (GY-Z17150).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Lei Jiang
    • 1
    • 2
  • Jianhua Liu
    • 1
    • 2
    Email author
  • Dongli Cui
    • 1
    • 2
  • Guannan Bu
    • 1
    • 2
  • Dongyang Zhang
    • 1
    • 2
  • Renyuan Hu
    • 1
    • 2
  1. 1.School of Information Science and EngineeringFujian University of TechnologyFuzhouChina
  2. 2.Fujian Provincial Key Laboratory of Big Data Mining and ApplicationsFuzhouChina

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