3862 search results - page 25 / 773 » Adaptive Noisy Optimization |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
GECCO
2010
Springer
2010
Springer
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed
13 years 10 months ago
Sequential selection was introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence— performing the evaluations of the different offspring sequen...