... analytical approach. Subsequently, a genetic algorithm, the differential evolution algorithm and particle swarm optimization are tested and compared. The algorithms use the weighted mean squared error (MSE) between the real measured data of stator currents as well as speed and the simulation results...

...Gianmarco Lorenti; Ivan Mariuzzo; Francesco Moraglio; Maurizio Repetto Purpose This paper aims to compare stochastic gradient method used for neural network training with global optimizer without use of gradient information, in particular differential evolution. Design/methodology/approach...

... and the proposed Gaussian exponential equations. The unknown coefficients of these equations are obtained by least residual algorithm and differential evolution–based fitting algorithms for charging, discharging and average OCV. Findings Root mean square error (RMSE) of the proposed equation for differential...

...@gmail.com 25 12 2020 19 04 2021 12 07 2021 24 08 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Optimal control Optimal design Computer-aided design Differential evolution Robust adaptive control Power systems...

.... Design/methodology/approach First, a dual-input and dual-output (DIDO) model with Duhem-type hysteresis is proposed to depict the dynamic behavior of the biaxial piezoelectric stage. Then, a systematic identification approach based on a modified differential evolution (DE) algorithm is proposed...

... Differential evolution Duffing equation Hamiltonian function Heteroclinic trajectory Jacobi elliptic function Mathematical models based on nonlinear differential equations are used in various engineering fields (Khan et al., 2017 ; Khan et al., 2018a ; Khan et al...

... density distribution, skin-effect resistance and inductance, in pulse regime of cylindrical conductor, having a circular or rectangular cross-section, is considered. The differential evolution method is applied for minimization of error functional. Because of its application in the practice, the lightning...

...Jingzhuo Shi; Wenwen Huang Purpose The purpose of this paper is to propose an improved differential evolution algorithm (DEA) suitable for motor’s model identification. Design/methodology/approach The mutation operation of the standard DEA is improved, and the adaptive coefficient is designed...

... to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode Multiphysics Differential evolution Optimal design Finite element method Evolution strategies Material modelling The applications of lithium-ion...

... in them under some simplifying hypothesis. A loss estimation is performed for both ferromagnetic and permanent magnet regions. A stochastic differential evolution (DE) algorithm for multi-objective constrained problems is then applied. Findings It is shown that the presented design tool gives results...

... and differential evolution are applied. Findings – At the end of the optimization process the drive's weight amounts to 460 g and its mean losses sum up to 10 W. This design meets all predefined constraints. Further it is proposed to start the optimization process with a parameter variation to reduce...

...Oszkár Bíró; David A. Lowther; Piergiorgio Alotto; Piergiorgio Alotto Purpose The purpose of this paper is to show that the performance of differential evolution (DE) can be substantially improved by a combination of techniques. These enhancements are applicable to both single and multiobjective...