3862 search results - page 1 / 773 » Adaptive Noisy Optimization |
EVOW
2010
Springer
13 years 11 months ago
2010
Springer
In this paper, adaptive noisy optimization on variants of the noisy sphere model is considered, i.e. optimization in which the same algorithm is able to adapt to several frameworks...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
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...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...