DocumentCode
3647841
Title
Self-adaptive differential evolution algorithm with a small and varying population size
Author
Janez Brest;1Borko Bošković;Aleš Zamuda;Iztok Fister;Mirjam Sepesy Maučec
Author_Institution
Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
1
Lastpage
8
Abstract
In this paper we present self-adaptive differential evolution algorithm with a small and varying population size on large scale global optimization. The experimental results obtained by our algorithm on benchmark functions provided for the CEC 2012 competition and special session on Large Scale Global Optimization are presented. The experiments were performed on 20 test functions with high dimension D = 1000. Obtained results show that our algorithm performs highly competitive in comparison with the algorithms presented at similar CEC 2010 competition.
Keywords
"Optimization","Vectors","Benchmark testing","Indexes","Process control","Heuristic algorithms","Upper bound"
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2012 IEEE Congress on
Print_ISBN
978-1-4673-1510-4
Type
conf
DOI
10.1109/CEC.2012.6252909
Filename
6252909
Link To Document