Swarm intelligence algorithm based on spiking neural-oscillator networks, coupling interactions and search performances

Author:

Sasaki Tomoyuki1ORCID,Nakano Hidehiro2ORCID

Affiliation:

1. Shonan Institute of Technology

2. Tokyo City University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Reference26 articles.

1. [1] X.-S. Yang, Nature-Inspired Metaheuristic Algorithms, 2nd Edition, Luniver Press, 2010.

2. [2] J. Kennedy and R.C. Eberhart, “Particle Swarm optimization,” Proc. IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948, 1995.

3. [3] Y. Shi and R.C. Eberhart, “A Modified Particle Swarm Optimizer,” Proc. IEEE CEC 1998, pp. 69-73, 1998.

4. [4] R.C. Eberhart and X. Hu, “Human tremor analysis using particle swarm optimization,” Proc. IEEE CEC 1999, pp. 1927-1930, 1999.

5. [5] H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, “A particle swarm optimization for reactive power and voltage control considering voltage security assessment,” IEEE Trans. Power Syst., vol. 15, no. 4, pp. 1232-1239, November 2000. DOI:10.1109/59.898095

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1. Analysis for optimizer based on spiking-neural oscillator networks with a simple network topology;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

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