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.
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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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Jiang, L., Liu, J., Cui, D., Bu, G., Zhang, D., Hu, R. (2020). A Binary Particle Swarm Optimization with the Hybrid S-Shaped and V-Shaped Transfer Function. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_8
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DOI: https://doi.org/10.1007/978-981-15-3308-2_8
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