35 search results - page 2 / 7 » Benchmarking the (1 1)-CMA-ES on the BBOB-2009 function test... |
GECCO
2009
Springer
13 years 9 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 9 months ago
2009
Springer
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noisy function testbed. This algorithm with a multistart strategy with increasing population size solves 10 f...
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
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 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...