1. Kennedy, J., Eberhartrc.: Particle swarm optimization. IEEE International Conference on Neural Networks, Perth, Australia: 1942–19489 (1995)
2. Hewahi, N.: A hybrid approach based on genetic algorithm and particle swarm optimization to improve neural network classification. J. Inf. Technol. Res. 10(3), 48–68 (2017)
3. Wu, L., Cheng, W., Wang, X.: Application of simulated annealing particle swarm algorithm to optimize two-dimensional entropy image segmentation. Comput. Eng. Design 040(009), 2544–2551 (2019)
4. Zhang, X., Kang, Q., Xia, W., et al.: Particle swarm optimization algorithm based on cross-reverse learning and cogranular social learning. J. Comput. Appl. 37(011), 3194–3200 (2017)
5. Li, L., Zhang, X.: A new adaptive inertial weight chaotic PSO algorithm. Comput. Eng. Appl. 054(009), 139–144 (2018)