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Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ‘ESS
(Centro Latinoamericano de Estudios en Informática, 2014)
Power flow optimization for grid connected inverter using evolutionary algorithm and additional control loop
(2011-12-28)
In this work it is proposed to validate an evolutionary tuning algorithm in plants composed by a grid connected inverter. The optimization aims the tuning of the slopes of P-Ω and Q-V curves so that the system is stable, ...
Power flow optimization for grid connected inverter using evolutionary algorithm and additional control loop
(2011-12-28)
In this work it is proposed to validate an evolutionary tuning algorithm in plants composed by a grid connected inverter. The optimization aims the tuning of the slopes of P-Ω and Q-V curves so that the system is stable, ...
Evolutionary optimization applied for fine-tuning parameter estimation in optical flow-based environments
(Ieee, 2014-01-01)
Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of parameters. ...
Evolutionary tuning of SVM parameter values in multiclass problems
(ELSEVIER SCIENCE BV, 2008)
Support vector machines (SVMs) were originally formulated for the solution of binary classification problems. In multiclass problems, a decomposition approach is often employed, in which the multiclass problem is divided ...
A structure-based coarse-fine approach for diversity tuning in cellular GAs
(Advances in Electrical and Computer Engineering, 2012)
A Social-Spider Optimization Approach for Support Vector Machines Parameters Tuning
(Ieee, 2014-01-01)
The choice of hyper-parameters in Support Vector Machines (SVM)-based learning is a crucial task, since different values may degrade its performance, as well as can increase the computational burden. In this paper, we ...