12 search results - page 2 / 3 » Benchmarking the pure random search on the BBOB-2009 noisy t... |
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
The NEWUOA which belongs to the class of DerivativeFree optimization algorithms is benchmarked on the BBOB2009 noisy testbed. A multistart strategy is applied with a maximum numbe...
GECCO
2009
Springer
13 years 9 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
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...
GECCO
2010
Springer
13 years 8 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 6 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...