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KI
2009
Springer
16 years 16 days 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...
EMO
2009
Springer
159views Optimization» more  EMO 2009»
16 years 17 days ago
Recombination for Learning Strategy Parameters in the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
Thomas Voß, Nikolaus Hansen, Christian Igel
EVOW
2010
Springer
16 years 24 days ago
Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation
Abstract. We revisit Gaussian Adaptation (GaA), a black-box optimizer for discrete and continuous problems that has been developed in the late 1960’s. This largely neglected sear...
Christian L. Müller, Ivo F. Sbalzarini