Title :
A study of dynamic severity in chaotic fitness landscapes
Author :
Richter, Hendrik
Author_Institution :
Fachbereich Elektrotechnik und Informationstechnik, HTWK Leipzig, Germany
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;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1555049
