Particle swarm optimisation based on self-organising topology driven by fitness with different links removing strategies Online publication date: Mon, 22-Sep-2014
by Simin Mo; Jianchao Zeng
International Journal of Innovative Computing and Applications (IJICA), Vol. 4, No. 2, 2012
Abstract: In this paper, a novel particle swarm optimisation (PSO) based on self-organising topology driven by fitness (PSO-SOTDF) is proposed. The topology will be gradually generated as the construction process and the optimisation process progress synchronously. And the construction process of topology involves operations of adding and removing links under invariable network sizes. Further, due to the operation of removing links influencing topology characteristics heavily, three kinds of links removing strategies are designed, which are referred to as Removal Strategy I, II and III. To obtain deep insights, the PSO-SOTDF with Removal Strategy I, II and III are used to solve benchmarks. Simulation results show that Removal Strategy I is more effective than other links removing strategies. In addition, the performance of PSO-SOTDF with Removal Strategy I is compared with other variants of PSO. Simulation results indicate that PSO-SOTDF with Removal Strategy I is competitive.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Innovative Computing and Applications (IJICA):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook