2008, Vol.11, No.2, pp.285-291
The detection of periodic orbits bears significance for the study
of nonlinear mappings, since they can reveal crucial information
on their dynamics. Recently, population-based stochastic
optimization algorithms were introduced to address problems where
traditional gradient-based approaches failed. The efficiency of
these approaches in applications, triggered further research
towards the development of more efficient variants. This work
presents the principal concepts of applying concurrent stochastic
population-based approaches for the detection of periodic orbits,
and also reports new results attained by the application of
Memetic Algorithms on well-known chaotic maps for periodic orbits
with high period.
Key words:
nonlinear mapping, periodic orbits, stochastic
optimization
Full text: Acrobat PDF (292KB)
Copyright © Nonlinear Phenomena in Complex Systems. Last updated: July 10, 2008