Results 51 to 60 of about 2,841,488 (326)
Genetic diagnosis of fetal microcephaly at a single tertiary center in China
Frontiers in Genetics, 2023 Background: Microcephaly is common in patients with neuropsychiatric problems, and it is usually closely related to genetic causes. However, studies on chromosomal abnormalities and single-gene disorders associated with fetal microcephaly are limited ...
You Wang +18 more
doaj +1 more source
Identification of the Isotherm Function in Chromatography Using CMA-ES [PDF]
, 2007 This paper deals with the identification of the flux for a system of conservation laws in the specific example of analytic chromatography. The fundamental equations of chromatographic process are highly non linear. The state-of-the-art Evolution Strategy,
Auger, Anne +4 more
core +5 more sources
Design of compact and low-loss S-bends by CMA-ES.
Optics Express, 2023 We employ the covariance matrix adaptation evolution strategy (CMA-ES) algorithm to design compact and low-loss S-bends on the standard silicon-on-insulator platform.
Yuto Miyatake +3 more
semanticscholar +1 more source
Sensors, 2022 The emergence of the Industrial Internet of Things (IIoT) has accelerated the adoption of Industrial Wireless Sensor Networks (IWSNs) for numerous applications.
Nouf Alharbi +2 more
doaj +1 more source
Evaluation of the impact of various modifications to CMA-ES that facilitate its theoretical analysis
GECCO Companion, 2023 In this paper we introduce modified versions of CMA-ES with the objective to help to prove convergence of CMA-ES. In order to ensure that the modifications do not alter the performances of the algorithm too much, we benchmark variants of the algorithm ...
Armand Gissler
semanticscholar +1 more source
A novel hybrid algorithm based on Stochastic Fractal Search Algorithm and CMA-ES
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023 In this study, a novel hybridization approach, which is called CMASFS and is based on the covariance matrix adaptation evolution strategy (CMA-ES) and the stochastic fractal search (SFS) algorithms.
Serdar Paçacı +2 more
doaj +1 more source
CMA-ES with Adaptive Reevaluation for Multiplicative Noise [PDF]
Annual Conference on Genetic and Evolutionary ComputationThe covariance matrix adaptation evolution strategy (CMA-ES) is a powerful optimization method for continuous black-box optimization problems. Several noise-handling methods have been proposed to bring out the optimization performance of the CMA-ES on ...
Kento Uchida +2 more
semanticscholar +1 more source
International Journal for Simulation and Multidisciplinary Design Optimization, 2015 The design of complex systems often induces a constrained optimization problem under uncertainty. An adaptation of CMA-ES(λ, μ) optimization algorithm is proposed in order to efficiently handle the constraints in the presence of noise.
Chocat Rudy +3 more
doaj +1 more source
A (1+1)-CMA-ES for constrained optimisation [PDF]
Proceedings of the 14th annual conference on Genetic and evolutionary computation, 2012 This paper introduces a novel constraint handling approach for covariance matrix adaptation evolution strategies (CMA- ES). The key idea is to approximate the directions of the local normal vectors of the constraint boundaries by accumulating steps that violate the respective constraints, and to then reduce variances of the mutation distribution in ...
Arnold, Dirk, Hansen, Nikolaus
openaire +2 more sources
Experimental Comparisons of Derivative Free Optimization Algorithms [PDF]
, 2009 In this paper, the performances of the quasi-Newton BFGS algorithm, the NEWUOA derivative free optimizer, the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the Differential Evolution (DE) algorithm and Particle Swarm Optimizers (PSO) are ...
D.N. Wilke +9 more
core +4 more sources