22 search results - page 3 / 5 » Benchmarking the pure random search on the BBOB-2009 testbed |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
The NEWUOA which belongs to the class of Derivative-Free optimization algorithms is benchmarked on the BBOB-2009 noisefree testbed. A multistart strategy is applied with a maximum...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This B...
GECCO
2010
Springer
13 years 11 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 10 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
13 years 11 months ago
2010
Springer
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 ....