Thursday 23rd of November 2017
 

Differential Evolution with (u+T)-Selection Technique


Miao-Miao Liu, Pan Huo and Wen-Yin Gong

Differential Evolution (DE) is a global numerical optimization algorithm which is robust, easy to use, and lends itself very well to parallel computation. The original DE adopts one-to-one tournament selection to select the individuals surviving in the next generation, which maybe lead to the individuals with lower object function values abandoned. In the evaluation strategy, (u+T)-selection has been proved to be an effective selection. In this selection method, we compare all the individuals mixed with the parents and the offspring, and the individuals with lower fitness must survive in the next generation. Inspired by this, we proposed an improve method to improve the speed of convergence of DE in the paper. We combine this selection with five DE mutation strategies, and testing them with the 13 benchmark functions, and most of them have better performance compared with the original DE in the same condition.

Keywords: DE, (u+T)-selection, (u+T)-DE, replacement

Download Full-Text


ABOUT THE AUTHORS

Miao-Miao Liu
Miaomiao Liu is still a student in China University of Geosciences. She started the study of DE in 2011, and current research interest is differential evolution.

Pan Huo
Pan Huo is still a student in China University of Geosciences. She started the study of DE in 2011, and current research interest is differential evolution.

Wen-Yin Gong
Dr. Wenyin Gong Address: No. 388, Lumo Road, School of Computer Science, China University of Geosciences, Wuhan 430074, P.R. China Tel: 86-27-67883716 Fax: 86-27-67883716 Homepage: http://cs.cug.edu.cn/teacherweb/gwy/


IJCSI Published Papers Indexed By:

 

 

 

 
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »