Using Watts-Strogatz particle swarm optimisation to solve direct orbits of chaotic systems
by Zhuanghua Zhu
International Journal of Computing Science and Mathematics (IJCSM), Vol. 4, No. 4, 2013

Abstract: Watts-Strogatz particle swarm optimisation (WSPSO) is a new variant of particle swarm optimisation by employing small-world topology. In this variant, the topology of each particle is changed dynamically according to Watts-Strogatz rules within the whole evolutionary process. In this paper, WSPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with other three variants of particle swarm optimisation.

Online publication date: Sat, 10-May-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com