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 :
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