The full text of this article

 

Scalar vs. vector approach to bi-objective resource allocation in spatially distributed networks
by Bogdan Filipič; Risto Vesanen; Erkki Laitinen
International Journal of Innovative Computing and Applications (IJICA), Vol. 5, No. 3, 2013

 

Abstract: The problem of optimal resource allocation in spatially distributed networks appears, for example, in wireless telecommunications and consists of maximising the network utility, i.e., the fee paid by the users, and minimising the costs of installing the allocated resources. This bi-objective optimisation problem can be approached in several ways, and we investigate the potentials of two fundamentally different ones: a scalar approach that starts with transforming the problem into a single-objective form and then solves it using an appropriate optimisation method, and a vector approach based on evolutionary computation. We provide the problem formulation, present the two approaches and report on numerical experiments and results obtained on test problem instances.

Online publication date: Fri, 16-Aug-2013

 

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 Innovative Computing and Applications (IJICA):
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