DocumentCode
2912362
Title
Iterated function system based adaptive Differential Evolution algorithm
Author
Li, Ya-Liang ; Ding, Fei ; Wang, Yu-Xuan
Author_Institution
Sch. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing
fYear
2008
fDate
1-6 June 2008
Firstpage
1290
Lastpage
1294
Abstract
In this paper, we propose a new adaptive Differential Evolution algorithm, in which a simple mechanism based on Iterated Function System is applied to the control parameters F and CR. The performance is reported on a set of benchmark functions, which shows that our algorithm is better than, or at least comparable to the standard DE algorithm and the other adaptive versions of DE algorithm.
Keywords
optimisation; adaptive differential evolution algorithm; benchmark functions; global optimization algorithm; iterated function system; Adaptive control; Adaptive systems; Chromium; Communication system control; Control systems; Evolutionary computation; Genetic mutations; Programmable control; Proposals; Telecommunication control;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630962
Filename
4630962
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