32 search results - page 2 / 7 » Benchmarking the NEWUOA on the BBOB-2009 function testbed |
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
In this paper, we benchmark the (1+1) Evolution Strategy (ES) with one-fifth success rule which is one of the first and simplest adaptive search algorithms proposed for optimiza...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
The (1+1)-CMA-ES is an adaptive stochastic algorithm for the optimization of objective functions defined on a continuous search space in a black-box scenario. In this paper, an i...
GECCO
2009
Springer
13 years 9 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
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...