31 search results - page 4 / 7 » Benchmarking CMA-EGS on the BBOB 2010 noisy function testbed |
GECCO
2010
Springer
14 years 13 days ago
2010
Springer
We implement a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. We benchmark the IPOP-aCMA-ES and compare the perfor...
GECCO
2010
Springer
14 years 13 days 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 ....
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
Originally, genetic algorithms were developed based on the binary representation of candidate solutions in which each conjectured solution is a fixed-length string of binary numb...
GECCO
2009
Springer
14 years 7 days 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
14 years 7 days 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...