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» Benchmarking the (1 1)-CMA-ES on the BBOB-2009 noisy testbed
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GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
13 years 10 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
2009
Springer
107views Optimization» more  GECCO 2009»
13 years 11 months ago
A stigmergy-based algorithm for black-box optimization: noisy function testbed
In this paper, we present a stigmergy-based algorithm for solving optimization problems with continuous variables, labeled Differential Ant-Stigmergy Algorithm (DASA). The perfor...
Peter Korosec, Jurij Silc
GECCO
2010
Springer
160views Optimization» more  GECCO 2010»
13 years 11 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
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
13 years 11 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
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
13 years 9 months ago
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs), that consists in performing the evaluations of the diffe...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen