Results 211 to 220 of about 3,655 (256)

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]

Imaging Neurosci (Camb)
Bouton S, Chambon V, Golestani N, Formisano E, Proix T, Giraud AL.   +5 more
europepmc   +1 more source

A robust hybrid data driven approach to model biochar yield in terms of biomass pyrolysis. [PDF]

Bioresour Bioprocess
Yadav K, Alkwai LM, Almansour S, Mottaghi M.   +3 more
europepmc   +1 more source

Single-Axis Rotational Inertial Navigation Systems for USVs: A Review of Key Technologies. [PDF]

Micromachines (Basel)
Su E, Wang J, Sheng W, Mou Y, Li T, Liu J.   +5 more
europepmc   +1 more source

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies

Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies
openaire  

In Vivo Cardiac Biomechanical Model Parameter Estimation from Ultrafast Shear Wave Elastography

Ferrario C, Venet M, Villemain O, Sermesant M.   +3 more
europepmc   +1 more source

Adaptive Grid Archiving Combined with the Covariance Matrix Adaptation Evolution Strategy.

Rostami, Shahin, Shenfield, A.
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Toward a Matrix-Free Covariance Matrix Adaptation Evolution Strategy

IEEE Transactions on Evolutionary Computation, 2020
In this paper, we discuss a method for generating new individuals such that their mean vector and the covariance matrix are defined by formulas analogous to the covariance matrix adaptation evolution strategy (CMA-ES). In contrast to CMA-ES, which generates new individuals using multivariate Gaussian distribution with an explicitly defined covariance ...
Dariusz Jagodziński, Jaroslaw Arabas
exaly   +2 more sources

Simplify Your Covariance Matrix Adaptation Evolution Strategy

IEEE Transactions on Evolutionary Computation, 2017
The standard covariance matrix adaptation evolution strategy (CMA-ES) comprises two evolution paths, one for the learning of the mutation strength and one for the rank-1 update of the covariance matrix. In this paper, it is shown that one can approximately transform this algorithm in such a manner that one of the evolution paths and the covariance ...
Bernhard Sendhoff, Hans-Georg Beyer
exaly   +2 more sources

An adaptive penalty based covariance matrix adaptation–evolution strategy

Computers and Operations Research, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Osman Kusakci, Mehmet Can
exaly   +2 more sources

A covariance matrix adaptation evolution strategy variant and its engineering application

Applied Soft Computing Journal, 2019
Abstract This paper proposes a novel covariance matrix adaptation evolution strategy (CMA-ES) variant, named AEALSCE, for single-objective numerical optimization problems in the continuous domain. To avoid premature convergence and strengthen the exploration capacity of the basic CMA-ES, AEALSCE is obtained by integrating the CMA-ES with two ...
Yintong Li, Zhenglei Wei, Yajun Liang
exaly   +2 more sources