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» Incremental evolution strategy for function optimization
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 5 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
15 years 4 months ago
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ) and (1 + 2) Evolution-Strategies (ESs) with the aim of designing f...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
15 years 5 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
CAD
2008
Springer
15 years 22 days ago
Structure-oriented contour representation and matching for engineering shapes
Conventional shape matching for engineering models primarily considers rigid shape similarity. They do not seek global shape similarity while considering large local deformations....
Suyu Hou, Karthik Ramani
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 4 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa