16 search results - page 2 / 4 » Benchmarking the NEWUOA on the BBOB-2009 noisy testbed |
GECCO
2009
Springer
13 years 9 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 9 months ago
2009
Springer
We benchmark an independent-restart-(1+1)-CMA-ES on the BBOB-2009 noisy testbed. The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions d...
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 8 months ago
2010
Springer
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
GECCO
2010
Springer
13 years 3 months ago
2010
Springer
In this paper, the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) on some noiseless functions are compared to those of the BI-POPulation Covariance Matrix A...