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
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;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579677