17 search results - page 2 / 4 » Benchmarking the (1 1)-CMA-ES on the BBOB-2009 noisy testbed |
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
The (1+1)-ES with one-fifth success rule is one of the first and simplest stochastic algorithm proposed for optimization on a continuous search space in a black-box scenario. In...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
We benchmark the BI-population CMA-ES on the BBOB2009 noisy functions testbed. BI-population refers to a multistart strategy with equal budgets for two interlaced restart strategi...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
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, ...
GECCO
2010
Springer
2010
Springer
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed
13 years 7 months ago
Sequential selection, introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence, consists in performing the evaluations of the different offspring...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
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...