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
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;
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
DOI :
10.1109/CEC.2008.4630962
