Paper Info
Title
Iterated function system based adaptive Differential Evolution algorithm
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.
Year
DOI
Venue
2008
10.1109/CEC.2008.4630962
IEEE Congress on Evolutionary Computation
Keywords
Field
DocType
optimisation,benchmark functions,global optimization algorithm,iterated function system,adaptive differential evolution algorithm,benchmark testing,control systems,evolutionary computation,differential evolution,noise,adaptive control,adaptive systems,chromium,convergence
Convergence (routing),Evolution biology,Iterated function system,Mathematical optimization,Global optimization algorithm,Computer science,Adaptive system,Algorithm,Artificial intelligence,Benchmark (computing),Differential evolution algorithm,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4244-1823-7
2
0.44
References 
Authors
7
3
Name
Order
Citations
PageRank
yaliang li162950.87
Fei Ding23218.36
Yu-Xuan Wang365032.68