Close category search window
 

An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter 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

3 Author(s)
Brest, J. ; Fac. of Electr. Eng. & Comput. Sci., Univ. of Maribor, Maribor, Slovenia ; Boškovič, B. ; Zumer, V.

In this paper we describe an improved version of self-adaptive differential evolution algorithm. Our algorithm uses more strategies, ageing mechanism to reinitialize an individual which stagnates in local optima, an ϵ level controlling of constraint violation. The performance of the proposed algorithm is evaluated on the set of 18 scalable benchmark functions provided for the CEC 2010 competition and special session on single objective constrained real-parameter optimization, when the dimension of decision variables is set to 10 and 30, respectively. The obtained results show that our algorithm is suitable for solving constrained optimization problems.

Published in:
Evolutionary Computation (CEC), 2010 IEEE Congress on

Date of Conference: 18-23 July 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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.