50 search results - page 1 / 10 » LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Ad... |
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
TSP
2011
12 years 11 months ago
2011
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
EMO
2009
Springer
13 years 11 months ago
2009
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
EVOW
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. We revisit Gaussian Adaptation (GaA), a black-box optimizer for discrete and continuous problems that has been developed in the late 1960’s. This largely neglected sear...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...