Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Particle Swarm Intelligence as a new heuristic for the optimization of distributed database queries

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

3 Author(s)
Dokeroglu, T. ; Dept. of Comput. Eng., Middle East Tech. Univ., Ankara, Turkey ; Tosun, U. ; Cosar, A.

Particle Swarm Optimization (PSO) is a member of the nature inspired algorithms. Its ability to solve many complex search problems efficiently and accurately has made it an interesting research area. In this study, we model Distributed Database Query Optimization problem as a Bare Bones PSO and develop a set of canonical and hybrid PSO algorithms. To the best of our knowledge, this is the first time that Bare Bones PSO is being used for solving this problem. We explore and evaluate the capabilities of PSO against Iterative Dynamic Programming, and a Genetic Algorithm. We experimentally show that PSO algorithms are able to find near-optimal solutions efficiently.

Published in:

Application of Information and Communication Technologies (AICT), 2012 6th International Conference on

Date of Conference:

17-19 Oct. 2012