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Advances in Artificial Intelligence
Volume 2012 (2012), Article ID 540861, 7 pages
http://dx.doi.org/10.1155/2012/540861
Research Article

A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization

Center of Excellence on Soft Computing and Intelligent Information Processing (SCIIP), Ferdowsi University of Mashhad, Mashhad, Iran

Received 24 May 2012; Revised 16 July 2012; Accepted 16 July 2012

Academic Editor: Joanna Józefowska

Copyright © 2012 Alireza Rowhanimanesh and Sohrab Efati. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Alireza Rowhanimanesh and Sohrab Efati, “A Novel Approach to Improve the Performance of Evolutionary Methods for Nonlinear Constrained Optimization,” Advances in Artificial Intelligence, vol. 2012, Article ID 540861, 7 pages, 2012. doi:10.1155/2012/540861