DocumentCode
2231419
Title
The summary of differential evolution algorithm and its improvements
Author
Li Gao-yang ; Liu Ming-guang
Author_Institution
Civil Eng. Coll. of Water Conservancy, South China Agric. Univ., Guangzhou, China
Volume
3
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Differential evolution algorithm as a global optimization method in engineering field has broad applicability. In order to facilitate researchers studying differential evolution algorithm, this paper expounds, comparatives and analyses the differential evolution algorithm and its improved measures based on researching materials of differential evolution algorithm at home and abroad. It shows that differential evolution algorithm is simple, easy to use, various improvements have improved differential evolution algorithm´s optimization capability in varying degrees. The future should strengthen the basic theory and collaborative optimization ways research of differential evolution algorithm.
Keywords
evolutionary computation; collaborative optimization; differential evolution algorithm; global optimization method; Biological system modeling; Chromium; Computational modeling; Evolutionary computation; differential evolution; improvements; principle; summary;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5579677
Filename
5579677
Link To Document