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CEC
2005
IEEE
13 years 11 months ago
Dynamic niching in evolution strategies with covariance matrix adaptation
Abstract- Evolutionary Algorithms (EAs) have the tendency to converge quickly into a single solution in the search space. However, many complex search problems require the identiļ¬...
Ofer M. Shir, Thomas Bäck
ICASSP
2008
IEEE
13 years 11 months ago
Low-rank covariance matrix tapering for robust adaptive beamforming
Covariance matrix tapering (CMT) is a popular approach to improve the robustness of adaptive beamformers against moving or wideband interferers. In this paper, we develop a comput...
Michael Rübsamen, Christian Gerlach, Alex B. ...
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 9 months ago
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
First, the covariance matrix adaptation (CMA) with rankone update is introduced into the (1+1)-evolution strategy. An improved implementation of the 1/5-th success rule is propose...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
13 years 9 months ago
Active covariance matrix adaptation for the (1+1)-CMA-ES
We propose a novel variant of the (1 + 1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs o...
Dirk V. Arnold, Nikolaus Hansen
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 7 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for speciļ¬c purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz