Individual social strategy with non-linear manner
by Xingjuan Cai
International Journal of Modelling, Identification and Control (IJMIC), Vol. 8, No. 4, 2009

Abstract: Dispersed particle swarm optimisation (DPSO) is a new variant of particle swarm optimisation by introducing a distributed social parameter setting. However, this individual strategy for each particle is setting to a linear manner. Due to the complex nature of engineering optimisation tasks, a predefined linear manner cannot always meet the optimisation requirements. Therefore, in this paper, four non-linear selection strategies are introduced to DPSO to further improve the performance. Four famous numerical benchmarks are used to assess the new algorithm. Simulation results show the exponential curve strategy can achieve best performance than three other non-linear strategies though the improvements relied on the test functions significantly. Furthermore, when compared with three other variants of particle swarm optimisation, the exponential curve strategy also provides the best performance.

Online publication date: Wed, 09-Dec-2009

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 Modelling, Identification and Control (IJMIC):
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