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» A study of dynamic severity in chaotic fitness landscapes
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CEC
2005
IEEE
14 years 1 months ago
A study of dynamic severity in chaotic fitness landscapes
In this paper1 , we consider optimization by an evolutionary algorithm in dynamic environments that change chaotically. In particular, the concept of dynamic severity is applied to...
Hendrik Richter
PPSN
2004
Springer
14 years 1 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 character...
Hendrik Richter
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and imp...
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge...
ALIFE
2004
13 years 7 months ago
Digital Evolution in Time-Dependent Fitness Landscapes
We study the response of populations of digital organisms that adapt to a time-varying (periodic) fitness landscape of two oscillating peaks. We corroborate in general predictions ...
Ye Li, Claus O. Wilke
CEC
2010
IEEE
13 years 9 months ago
Fitness landscape analysis for evolutionary non-photorealistic rendering
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
Jeff Riley, Victor Ciesielski