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Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments
Jürgen Branke1 and Wei Wang2
1Institute AIFB,
University of Karlsruhe,
76128 Karlsruhe, Germany
branke@aifb.uni-karlsruhe.de
2Department of Education Technologies
Nanjing University of Posts and Telecommunications
P.O.Box 73,
38 GuangDong Road,
210003 Nanjing, China
wwang@jlonline.com
Abstract.
Evolutionary algorithms applied to dynamic optimization problems has become
a promising research area. So far, all papers in the area have assumed that
the environment changes only between generations. In this paper,
we take a first look at possibilities to handle a change
during a generation. For that purpose, we derive an analytical model
for a 
evolution strategy and show that sometimes it is better
to ignore the environmental change until the end of the generation,
than to evaluate each individual with the most up-to-date fitness function.
LNCS 2723, p. 537 ff.
lncs@springer.de
© Springer-Verlag Berlin Heidelberg 2003