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KI
2009
Springer
14 years 3 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
ETFA
2008
IEEE
14 years 2 months ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...
IWINAC
2007
Springer
14 years 2 months ago
Gaining Insights into Laser Pulse Shaping by Evolution Strategies
Abstract. We consider the numerical evolutionary optimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum contro...
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
14 years 3 days ago
Reconsidering the progress rate theory for evolution strategies in finite dimensions
This paper investigates the limits of the predictions based on the classical progress rate theory for Evolution Strategies. We explain on the sphere function why positive progress...
Anne Auger, Nikolaus Hansen
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
14 years 3 days ago
The dispersion metric and the CMA evolution strategy
An algorithm independent metric is introduced that measures the dispersion of a uniform random sample drawn from the top ranked percentiles of the search space. A low dispersion f...
Monte Lunacek, Darrell Whitley