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22

PPSN
2004
Springer

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137views Distributed And Parallel Com...» more PPSN 2004»

Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes

14 years 4 months ago

Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes

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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

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Distributed And Parallel Computing | Evolutionary Algorithm | Landscape Inﬂuence Performance | Non–stationary ﬁtness Landscape | PPSN 2004 |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	PPSN
Authors	Hendrik Richter

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