A Binary Particle Swarm Optimization with the Hybrid S-Shaped and V-Shaped Transfer Function
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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.
KeywordsBPSO Transfer functions Mutation operation Feature selection
In this paper, the research was supported by Fujian Provincial Natural Science Foundation Projects (2019J01061137) and Fujian University of Technology Development Fund (GY-Z17150).
- 6.Kennedy, J., Eberhart, R.C.: A discrete binary version of the particle swarm algorithm. In: IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, vol. 5, pp. 4104–4108 (1997)Google Scholar
- 9.Lin, H., Yuli, L.: Improved particle swarm optimization algorithm for Android malicious application detection. Comput. Eng. Appl. 1–10 (2019)Google Scholar