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» Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
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GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
Antonio LaTorre, Santiago Muelas, José Mar&...
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noisy testbed. The CMAEGS is a hybrid strategy which combines elements from gradient search an...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
227views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking SPSA on BBOB-2010 noisy function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
Steffen Finck, Hans-Georg Beyer
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 8 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
160views Optimization» more  GECCO 2010»
13 years 9 months ago
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed
In a companion paper, we presented a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. In this paper, we benchmark th...
Nikolaus Hansen, Raymond Ros