Results 11 to 20 of about 40,610 (305)
Minorant methods for stochastic global optimization [PDF]
, 2005 We develop numerical methods for solution of stochastic global optimization problems: min$[F(x)=Ef(x,¦Ø)| xin X]$ and $min[F(x)=P{f(x, ¦Ø) ¡Ü0} | xin X]$, where x is a finite dimensional decision vector with possible values in the set X, ¦Ø is a random variable, $f(x,¦Ø)$ is a nonlinear function of variable x, E and P ...
Norkin, Vladimir, Onischenko, Boris.
openaire +5 more sources
Global stochastic optimization of stellarator coil configurations
Journal of Plasma Physics, 2022 In the construction of a stellarator, the manufacturing and assembling of the coil system is a dominant cost. These coils need to satisfy strict engineering tolerances, and if those are not met the project could be cancelled as in the case of the National Compact Stellarator Experiment (NCSX) project (R.L.
Silke Glas +3 more
openaire +3 more sources
Nonlinear optimization algorithm using monotonically increasing quantization resolution
ETRI Journal, 2023 We propose a quantized gradient search algorithm that can achieve global optimization by monotonically reducing the quantization step with respect to time when quantization is composed of integer or fixed-point fractional values applied to an ...
Jinwuk Seok, Jeong-Si Kim
doaj +1 more source
Advances in Civil Engineering, 2021 To overcome the problem of particle swarm optimization (PSO) being trapped in local minima, a particle swarm optimization algorithm combined with non-Gaussian stochastic distribution is presented for optimization design of wind turbine blade.
Fangjin Sun, Zhonghao Xu, Daming Zhang
doaj +1 more source
Gray Image Denoising Based on Array Stochastic Resonance and Improved Whale Optimization Algorithm
Applied Sciences, 2022 Aiming at the poor effect of traditional denoising algorithms on image enhancement with strong noise, an image denoising algorithm based on improved whale optimization algorithm and parameter adaptive array stochastic resonance is proposed in the paper ...
Weichao Huang +3 more
doaj +1 more source
Use RBF as a Sampling Method in Multistart Global Optimization Method
Signals, 2022 In this paper, a new sampling technique is proposed that can be used in the Multistart global optimization technique as well as techniques based on it.
Ioannis G. Tsoulos +2 more
doaj +1 more source
Training Artificial Neural Networks Using a Global Optimization Method That Utilizes Neural Networks
AI, 2023 Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc.
Ioannis G. Tsoulos, Alexandros Tzallas
doaj +1 more source
NeuralMinimizer: A Novel Method for Global Optimization
Information, 2023 The problem of finding the global minimum of multidimensional functions is often applied to a wide range of problems. An innovative method of finding the global minimum of multidimensional functions is presented here.
Ioannis G. Tsoulos +3 more
doaj +1 more source
Nonautonomous Stochastic Search in Global Optimization [PDF]
Journal of Nonlinear Science, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ombach, Jerzy, Tarłowski, Dawid
openaire +3 more sources
Minorant Methods of Stochastic Global Optimization [PDF]
Cybernetics and Systems Analysis, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Norkin, V. I., Onishchenko, B. O.
openaire +2 more sources