Abstract
In this paper, swarm activity is defined as the root mean square velocity of the particles in Particle Swarm Optimization (PSO). A new method for determining the numerical stability of PSO based on swarm activity was developed. Using the results of a numerical stability analysis of PSO, the search of conventional PSO methods is examined. From this analysis, issues related to diversification and intensification during the search can be explored.
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References
Yasuda, K., Ide, A., Iwasaki, N.: Stability Analysis of Particle Swarm Optimization. In: Proceedings of The Fifth Metaheuristics International Conference, MIC 2003 (2003)
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© 2008 Springer-Verlag Berlin Heidelberg
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Yasuda, K., Iwasaki, N., Ueno, G. (2008). On the Stability and the Parameters of Particle Swarm Optimization. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_48
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DOI: https://doi.org/10.1007/978-3-540-87527-7_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87526-0
Online ISBN: 978-3-540-87527-7
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