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 :
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