Results 61 to 70 of about 46,799 (193)
CMA-ES based topology optimization for acoustic cloak
Nihon Kikai Gakkai ronbunshu, 2018 This paper presents a topology optimization based on a covariance matrix adaptation evolution strategy (CMA-ES) for acoustic cloaks rendering a scattering object acoustically invisible.
Masayuki TAKAHASHI +2 more
doaj +1 more source
Efficient Covariance Matrix Update for Variable Metric Evolution Strategies [PDF]
, 2009 International audienceRandomized direct search algorithms for continuous domains, such as Evolution Strategies, are basic tools in machine learning. They are especially needed when the gradient of an objective function (e.g., loss, energy, or reward ...
Hansen, Nikolaus +2 more
core +2 more sources
Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation [PDF]
, 2011 Artificial olfaction systems, which mimic human olfaction by using arrays of gas chemical sensors combined with pattern recognition methods, represent a potentially low-cost tool in many areas of industry such as perfumery, food and drink production ...
A. Scionti +37 more
core +3 more sources
Path integral policy improvement with differential dynamic programming [PDF]
, 2019 Path Integral Policy Improvement with Covariance Matrix Adaptation (PI2-CMA) is a step-based model free reinforcement learning approach that combines statistical estimation techniques with fundamental results from Stochastic Optimal Control. Basically, a
Crevecoeur, Guillaume, Lefebvre, Tom
core +1 more source
Tracking moving optima using Kalman-based predictions [PDF]
, 2008 The dynamic optimization problem concerns finding an optimum in a changing environment. In the field of evolutionary algorithms, this implies dealing with a timechanging fitness landscape.
Abderrahim, Mohamed +2 more
core +5 more sources
A method for Network Security Situation Prediction Based on CMA一RBF Model
Journal of Harbin University of Science and Technology, 2017 A method for network security situation prediction is proposed，where the covariance matrix adaptation evolution strategy algorithm(CMA-ES)is used to optimize the parameters of the radial basis neural network forecasting model(RBF)，which makes the ...
YANG Ming, HU Guan-yu, LIU Qian
doaj +1 more source
DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
, 2018 Recent research has demonstrated the vulnerability of fingerprint recognition systems to dictionary attacks based on MasterPrints. MasterPrints are real or synthetic fingerprints that can fortuitously match with a large number of fingerprints thereby ...
Bontrager, Philip +4 more
core +1 more source
Surface Water Quality Classification via CMAES Ensemble Method
Jisuanji kexue yu tansuo, 2020 In order to improve the quality of people’s daily life, the government departments continue to strengthen water quality management. However, artificial classification method cannot meet the needs of real-time processing, additionally the classification ...
CHEN Xingguo, XU Xiuying, CHEN Kangyang, YANG Guang
doaj +1 more source
Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification
MathematicsThe compound classification strategies addressed in this study encounter challenges related to either low efficiency or accuracy. Precise classification of chemical compounds from SMILES symbols holds significant importance in domains such as drug ...
Zhenkai Guo, Dianlong Hou, Qiang He
doaj +1 more source
Evolutionary Computation, 2017 During the recent decades, many niching methods have been proposed and empirically verified on some available test problems. They often rely on some particular assumptions associated with the distribution, shape, and size of the basins, which can seldom be made in practical optimization problems.
Ahrari, A., Deb, K., Preuss, M.
openaire +4 more sources