Particle Swarm Optimization: Understanding Order-2 Stability Guarantees-Reference-Cited by-同舟云学术

Particle Swarm Optimization: Understanding Order-2 Stability Guarantees

Published:2019 Issue: Volume: Page:535-549
ISSN:0302-9743
Container-title:Applications of Evolutionary Computation
language:
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Author:

Cleghorn Christopher W.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16692-2_36

Reference31 articles.

1. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Joint Conference on Neural Networks, pp. 1942–1948. IEEE Press, Piscataway, NJ (1995)

2. Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. J. Artif. Evol. Appl. 2008, 1–10 (2008)

3. Ozcan, E., Mohan, C.K.: Analysis of a simple particle swarm optimization system. Intell. Eng. Syst. Artif. Neural Netw. 8, 253–258 (1998)

4. Clerc, M., Kennedy, J.: The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput. 6(1), 58–73 (2002)

5. Jiang, M., Luo, Y.P., Yang, S.Y.: Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm. Inf. Process. Lett. 102(1), 8–16 (2007)

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