Particle swarm intelligence for channel assignment problem in mobile cellular communication system
by Julia Punitha Malar Dhas; R.S. Rajesh
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 3, No. 1, 2012

Abstract: This paper deals with the Channel Assignment Problem (CAP) in a hexagonal cellular network. The CAP in cellular network is known to belong to the class of Non Deterministic Polynomial (NP) complete optimisation problems. This problem is being solved by tools like simulated annealing, neural networks, Genetic Algorithm (GA) and other heuristic methods. In this paper, a Modified Particle Swarm Optimisation (MPSO) algorithm has been developed for CAP. The proposed approach mainly focuses on accelerating the convergence speed. The performance of the proposed approach is analysed by applying it to a well-known benchmark problem. The result of MPSO algorithm shows that the proposed technique is an attractive one than the other existing techniques.

Online publication date: Sat, 29-Nov-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 Artificial Intelligence and Soft Computing (IJAISC):
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