DocumentCode
3213195
Title
Change detection in dynamic fitness landscapes: An immunological approach
Author
Richter, Hendrik
Author_Institution
Inst. Mess-, Steuerungs- und Regelungstech., HTWK Leipzig, Leipzig, Germany
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
719
Lastpage
724
Abstract
Detecting the point in time where a dynamic fitness landscape changes is vital for a considerable number of diversity management schemes that used in evolutionary algorithms employed for solving dynamic optimization problems. Here, we introduce a change detector based on principles of artificial immune systems, namely a negative selection algorithm. We show in numerical experiments that such an immunological approach allows to solve the change detection problem successfully for dynamic fitness landscapes.
Keywords
artificial immune systems; evolutionary computation; artificial immune system; change detection; diversity management scheme; dynamic fitness landscape; dynamic optimization problem; evolutionary algorithm; immunological approach; negative selection algorithm; Artificial immune systems; Change detection algorithms; Data mining; Detectors; Evolutionary computation; Immune system; Intrusion detection; Memory management; Testing; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5053-4
Type
conf
DOI
10.1109/NABIC.2009.5393482
Filename
5393482
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