Cart (Loading....) | Create Account
Close category search window
 

A smoothing evolutionary algorithm based on square search and filled function for global optimization

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)
Lei Fan ; Sch. of Comput. Sci. & Technol., Xidian Univ., Xi''an, China ; Yuping Wang ; Ning Dong ; Liping Jia

Many effective algorithms have been proposed for the global optimization problems arisen in various practical fields. However, some of these problems exist many local optima, which may lead to premature for solution algorithms. In order to avoid entrapping in the local optima, a smoothing function and square search method were used in the designed evolutionary algorithm. Using smoothing function can flatten the hilltops of the original function and eliminate all local optimal solutions which are no better than the best one found so far. Based on the smoothing function, square search scheme is presented, which can fall in a lower valley easier. Then, a filled function and local search were used to update the better solution found so far. Simulation results on 9 high dimensional standard benchmark problems indicate the performance of the proposed evolutionary algorithm is effective and sound.

Published in:

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on

Date of Conference:

23-26 Sept. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.