By Topic

Multiobjective Mobile Antenna Location identification using evolutionary optimization algorithm

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)
Lakashminarasimman, N. ; Dept. of Comput. Sci. & Eng., K.L.N. Coll. of Eng., Madurai, India ; Baskar, S. ; Alphones, A. ; Iruthayarajan, M.W.

In this paper, Multiobjective Mobile Antenna Location identification problem is considered with site coordinates (x, y), transmitting power, height, and tilt angle as design parameters and maximization of service coverage and minimization of cost as objectives. Evolutionary multiobjective algorithm NSGA-II and modified NSGA-II by incorporating dynamic crowding distance and controlled elitism is considered. A 15×15 Km2 synthetic test system is taken for simulation purposes. From the simulation results, we realize that modified NSGA-II is able to generate better Paretofront in terms of diversity and uniformity.

Published in:

Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on

Date of Conference:

29-31 July 2010