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GECCO
2009
Springer
140views Optimization» more  GECCO 2009»
15 years 2 months ago
AMaLGaM IDEAs in noisy black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
GECCO
2009
Springer
114views Optimization» more  GECCO 2009»
15 years 2 months ago
AMaLGaM IDEAs in noiseless black-box optimization benchmarking
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...
Peter A. N. Bosman, Jörn Grahl, Dirk Thierens
CGF
2010
128views more  CGF 2010»
14 years 9 months ago
An Optimizing Compiler for Automatic Shader Bounding
Programmable shading provides artistic control over materials and geometry, but the black box nature of shaders makes some rendering optimizations difficult to apply. In many case...
Petrik Clarberg, Robert Toth, Jon Hasselgren, Toma...
KI
2009
Springer
15 years 4 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...
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GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 2 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...