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» A study of dynamic severity in chaotic fitness landscapes
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CEC
2005
IEEE
14 years 3 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 2 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»
14 years 1 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 9 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 10 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