Results 21 to 30 of about 17,544 (260)
Matrix Adaptation Evolution Strategy with Multi-Objective Optimization for Multimodal Optimization
Algorithms, 2019 The standard covariance matrix adaptation evolution strategy (CMA-ES) is highly effective at locating a single global optimum. However, it shows unsatisfactory performance for solving multimodal optimization problems (MMOPs).
Wei Li
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Inventions, 2021 In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed.
Sergey Sokolov +2 more
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Path Integral Policy Improvement with Covariance Matrix Adaptation [PDF]
CoRR, 2012 ICML2012
Stulp, Freek, Sigaud, Olivier
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Energies, 2022 The increased penetration of renewables in power distribution networks has motivated significant interest in local energy systems. One of the main goals of local energy markets is to promote the participation of small consumers in energy transactions ...
Dharmesh Dabhi +4 more
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Gaussian Adaptation Revisited – An Entropic View on Covariance Matrix Adaptation [PDF]
, 2010 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 search heuristic shares several interesting features with the well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) and with Simulated Annealing (SA).
Christian L. Müller, Ivo F. Sbalzarini
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Modified Genetic Algorithm of Global Extremum Search in Combination with Directional Methods
Известия Иркутского государственного университета: Серия "Математика", 2022 In the paper, the stochastic method of global extremum search is discussed, modified and tested. The method is based on normal distribution modeling and provides covariance matrix adaptation.
Dmitri Ovsyannikov +4 more
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Archives of Control Sciences, 2014 This paper presents an automatic tuning of multivariable Fractional-Order Proportional, Integral and Derivative controller (FO-PID) parameters using Covariance Matrix Adaptation Evolution Strategy (CMAES) algorithm.
Sivananaithaperumal Sudalaiandi +1 more
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Adaptive multivariate dispersion control chart with application to bimetal thermostat data
Scientific Reports, 2023 Adaptive EWMA (AEWMA) control charts have gained remarkable recognition by monitoring productions over a wide range of shifts. The adaptation of computational statistic as per system shift is the main aspect behind the proficiency of these charts.
Muhammad Noor-ul-Amin +5 more
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Covariance Matrix Adaptation Evolution Strategy without a matrix
Proceedings of the Genetic and Evolutionary Computation Conference CompanionCovariance Matrix Adaptation Evolution Strategy (CMA-ES) is a highly effective optimization technique. A primary challenge when applying CMA-ES in high dimensionality is sampling from a multivariate normal distribution with an arbitrary covariance matrix, which involves its decomposition.
Jarosław Arabas +4 more
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APPLICATION OF RESTART COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGY (RCMA-ES) TO GENERATION EXPANSION PLANNING PROBLEM [PDF]
ICTACT Journal on Soft Computing, 2012 This paper describes the application of an evolutionary algorithm, Restart Covariance Matrix Adaptation Evolution Strategy (RCMA-ES) to the Generation Expansion Planning (GEP) problem.
K. Karthikeyan +3 more
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