5.8 Summary
The key learning mechanisms in the PSO algorithm are driven by a metaphor of social behaviour: that good solutions uncovered by one member of a population are observed and copied by other members of the population. Of course, these learning mechanisms abound in business and other social settings. Good business strategies, good product designs, and good theories stimulate imitation and subsequent adaptation. Particle swarm algorithms have proven to be successful optimisation tools in a variety of applications, and they have clear potential for application to financial modelling.
Keywords
- Particle Swarm Optimisation
- Particle Swarm
- Particle Swarm Optimisation Algorithm
- Discrete Particle Swarm Optimisation
- Grammatical Evolution
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2006 Springer-Verlag Berlin Heidelberg
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(2006). The Particle Swarm Model. In: Biologically Inspired Algorithms for Financial Modelling. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31307-9_5
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DOI: https://doi.org/10.1007/3-540-31307-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26252-7
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