By Topic

A multi-objective artificial bee colony algorithm for QoS based route optimization problem

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Changsheng Zhang ; Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Yunbin Li ; Zhonglin Li ; Bin Zhang

The QoS based route optimization is a key issue of the wireless network, which is a NPC-hard multi-objective discrete optimization problem. In this paper, an efficient multi-objective artificial bee colony optimization algorithm based on Pareto dominance called MOABC is proposed to tackle this problem. The algorithm was evaluated on a set of different scale test problems and compared with GA based multi-objective optimization algorithm for this problem. The experimental results reveal very encouraging results in terms of the quality of solution and the processing time required.

Published in:

Systems and Informatics (ICSAI), 2012 International Conference on

Date of Conference:

19-20 May 2012