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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(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
Download citation
DOI: https://doi.org/10.1007/3-540-31307-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26252-7
Online ISBN: 978-3-540-31307-6
eBook Packages: Computer ScienceComputer Science (R0)