30 search results - page 1 / 6 » Benchmarking a BI-population CMA-ES on the BBOB-2009 functio... |
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
The BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of 105 times the sea...
GECCO
2009
Springer
13 years 8 months ago
2009
Springer
A partly time and space linear CMA-ES is benchmarked on the BBOB-2009 noiseless function testbed. This algorithm with a multistart strategy with increasing population size solves ...
GECCO
2009
Springer
13 years 8 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 8 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 8 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...