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Title:Performance comparison of self-adaptive and adaptive differential evolution algorithms
Authors:Brest, Janez (Author)
Bošković, Borko (Author)
Greiner, Sašo (Author)
Žumer, Viljem (Author)
Sepesy Maučec, Mirjam (Author)
Files:URL http://dx.doi.org/10.1007/s00500-006-0124-0
 
Language:English
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Differential evolution (DE) has been shown to be a simple, yet powerful, evolutionary algorithm for global optimization. for many real problems. Adaptation, especially self-adaptation, has been found to be highly beneficial for adjusting control parameters, especially when done without any user interaction. This paper presents differential evolution algorithms, whichuse different adaptive or self-adaptive mechanisms applied to the control parameters. Detailed performance comparisons of these algorithms on the benchmark functions are outlined.
Keywords:differential evolution, control parameter, fitness function, optimization, self-adaption
Year of publishing:2007
UDC:681.5
ISSN on article:1432-7643
COBISS_ID:11150358 Link is opened in a new window
NUK URN:URN:SI:UM:DK:AX40REXA
Views:1255
Downloads:54
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Soft computing
Shortened title:Soft comput.
Publisher:Springer
ISSN:1432-7643
COBISS.SI-ID:11144982 New window

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