Multi-solution tracking in shifting sphere function using gravitational particle swarm algorithm
Author:
Affiliation:
1. Department of Mechanical Systems Engineering, Utsunomiya University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2023/0/2023_81/_pdf
Reference10 articles.
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2. [2] K. Tanakajima and T. Saito: Application of particle swarm optimization to dynamic maximum power point tracking, Transaction of the Japanese Society for Artificial Intelligence, vol.7, no.2, pp.24–31 (2016).
3. [3] T. Nishida, T. sakamoto, and N. Giannoccaro: Self-tuning pi control using adaptive pso of a web transport system with overlapping decentralized control, The transactions of the Institute of Electrical Engineers of Japan. D, A publication of Industry Applications Society, vol.131, no.12, pp.1442–1450 (2011).
4. [4] T. Blackwell and J. Branke: Multiswarms, exclusion, and anti-convergence in dynamic environments, IEEE Transactions on Evolutionary Computation, vol.10, pp.459–472 (2006).
5. [5] R. Eberhart and Y. Shi: Tracking and optimizing dynamic systems with particle swarms, Proceedings of the 2001 Congress on Evolutionary Computation, vol.1, pp.94–100 (2001).
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