DocumentCode
2732675
Title
A study of dynamic severity in chaotic fitness landscapes
Author
Richter, Hendrik
Author_Institution
Fachbereich Elektrotechnik und Informationstechnik, HTWK Leipzig, Germany
Volume
3
fYear
2005
fDate
2-5 Sept. 2005
Firstpage
2824
Abstract
In this paper, we consider optimization by an evolutionary algorithm in dynamic environments that change chaotically. In particular, the concept of dynamic severity is applied to chaotic changes. So, interdependencies between severity, change frequency and predictability of the changes are analyzed.
Keywords
chaos; dynamic programming; evolutionary computation; chaotic change; chaotic fitness landscape; dynamic environment; dynamic severity; evolutionary algorithm; optimization; Algorithm design and analysis; Chaos; Evolutionary computation; Frequency measurement; Performance analysis; Random variables; Runtime environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1555049
Filename
1555049
Link To Document