Results 31 to 40 of about 787,704 (278)

A new initialization procedure for the distributed estimation of distribution algorithms [PDF]

, 2010
Estimation of distribution algorithms (EDAs) are one of the most promising paradigms in today’s evolutionary computation. In this field, there has been an incipient activity in the so-called parallel estimation of distribution algorithms (pEDAs).
Antonio LaTorre, D Whitley, E Alba, E Alba, E Alba, E Cantú-Paz, F Aurenhammer, F Glover, JL Risco-Martín, José-María Peña, L delaOssa, P Larrañaga, RK Ahuja, RK Ahuja, Santiago Muelas, Víctor Robles   +15 more
core   +2 more sources

Adaptive Estimation of Distribution Algorithms

, 2008
Estimation of distribution algorithms (EDAs) are evolutionary methods that use probabilistic models instead of genetic operators to lead the search. Most of current proposals on EDAs do not incorporate adaptive techniques. Usually, the class of probabilistic model employed as well as the learning and sampling methods are static.
Santana Hermida, Roberto, Larrañaga Múgica, Pedro María, Lozano Alonso, José Antonio   +2 more
openaire   +2 more sources

Symmetric-Approximation Energy-Based Estimation of Distribution (SEED): A Continuous Optimization Algorithm

IEEE Access, 2019
Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs ...
Juan De Anda-Suarez, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanese, Valentin Calzada-Ledesma, Alfonso Rojas-Dominguez, Solai Jeyakumar, Andres Espinal   +6 more
doaj   +1 more source

Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM [PDF]

, 2013
We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known.
Almeida, Babacan, Besag, Bishop, Chao, Chenegros, Daubechies, Degen, Dobigeon, Figueiredo, Forbes, Forbes, Ge, Gilks, Kundur, Landweber, Makni, Makni, Mittelman, Nasios, Orieux, Park, Pillonetto, Robert, Rugar, Shan, Sidles, Sidles, Sidles, Themelis, Ting, Tzikas, Vincent, Walker, Wang, Ward, Winn, Züger, Züger, Züger   +39 more
core   +5 more sources

Meter placement algorithms to enhance distribution systems state estimation: Review, challenges and future research directions

IET Renewable Power Generation, 2022
Increasing the number of measurements in power distribution networks is crucial in improving the monitoring accuracy and operation quality. However, due to the large number of nodes in distribution networks, it is not economically possible to install ...
Mehdi Zeraati, Morteza Shabanzadeh, Mohammad Reza Sheibani, Farkhondeh Jabari   +3 more
doaj   +1 more source

Semi-Blind Channel Estimation and Data Detection for Multi-Cell Massive MIMO Systems on Time-Varying Channels

IEEE Access, 2021
We study the problem of semi-blind channel estimation and symbol detection in the uplink of multi-cell massive MIMO (multi-input multi-output) systems with spatially correlated time-varying channels.
Mort Naraghi-Pour, Mohammed Rashid, Cesar Vargas-Rosales   +2 more
doaj   +1 more source

A combined tree growing technique for block-test scheduling under power constraints [PDF]

, 2001
A tree growing technique is used here together with classical scheduling algorithms in order to improve the test concurrency having assigned power dissipation limits.
Muresan, Valentin, Muresan, Valentina, Vladutiu, M., Wang, Xiaojun   +3 more
core   +1 more source

Automatic Neural Architecture Search Based on an Estimation of Distribution Algorithm for Binary Classification of Image Databases

Mathematics
Convolutional neural networks (CNNs) are widely used for image classification; however, setting the appropriate hyperparameters before training is subjective and time consuming, and the search space is not properly explored.
Erick Franco-Gaona, Maria Susana Avila-Garcia, Ivan Cruz-Aceves   +2 more
doaj   +1 more source

Estimation of Distribution Algorithms: Applications to the Design of Process Sensor Networks

CLEI Electronic Journal, 2009
The optimal location of sensors involves the selection of type, number and location of sensors from a set of available instruments with certain values of cost, precision and reliability.
Mercedes Carnero, José Luis Hernández, Mabel Sánchez   +2 more
doaj   +1 more source

Minimum-Variance Importance-Sampling Bernoulli Estimator for Fast Simulation of Linear Block Codes over Binary Symmetric Channels

, 2013
In this paper the choice of the Bernoulli distribution as biased distribution for importance sampling (IS) Monte-Carlo (MC) simulation of linear block codes over binary symmetric channels (BSCs) is studied.
Ciuonzo, Domenico, Romano, Gianmarco
core   +1 more source