By Topic

Solving constrained engineering optimization problems by the constrained PSO-DD

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

1 Author(s)
Worasucheep, C. ; King Mongkut''s Univ. of Technol., Bangkok

Many real world engineering optimization problems are nonlinear and constrained, meaning that objective functions are to be optimized under given constraints. Solving these problems has been challenging for many decades even until now. This paper proposes a constrained particle swarm optimization (PSO) algorithm with the stagnation detection and dispersion mechanism that can detect a probable stagnation and is able to disperse particles. This algorithm will be described and its performance is evaluated using three well-known constrained engineering problems that are widely used in literature. The results show a promising alternative path for solving the common problem of local optima in PSO algorithms for handling constrained optimization problems.

Published in:

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on  (Volume:1 )

Date of Conference:

14-17 May 2008