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2004
Springer

Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes

9 years 7 months ago
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be characterized by quantifiers of the underlying dynamics–generating system. We give experimental results about how these quantifiers, namely the Lyapunov exponents, together with the environmental change period of the landscape influence performance measures of the evolutionary algorithm used for tracking optima.
Hendrik Richter
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PPSN
Authors Hendrik Richter
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