... measurement Algorithmic languages The identification of the effective source and load impedance from a particular point of connection is an important task. Harmonic penetration studies, transient analysis and passive harmonic filter design would all benefit from an accurate knowledge of the network...

... with U_u term added to the control input, as shown in Figure 2 . Algorithmic languages Control systems Systems theory Electric motors The main goal of a control algorithm is to assure that the closed‐loop system performs as planned when the plant is exposed to a mixture of disturbances...

...) and repulsion (exploration). Electromagnetism Optimization techniques Algorithmic languages Electrical engineering The fundamental idea behind DE is the scheme which generates the trial parameter vectors: DE, at each time step, mutates vectors by adding weighted, random vector differentials...

... Limited 2009 Electromagnetism Optimization techniques Algorithmic languages Equation 1 Equation 2 where i=1, 2, … , N indicates the number of particles in the population (swarm); t=1, 2, … , t_max, indicates the iteration...

... in Figure 2 . © Emerald Group Publishing Limited 2009 Magnetic devices Electrical engineering Optimization techniques Algorithmic languages Magnetic induction tomography (MIT) is an imaging technique which is sensitive to all three passive electromagnetic properties of materials...

... to improve the convergence of a multi‐level optimization algorithm by best management of the consistency constraints. © Emerald Group Publishing Limited 2009 Optimization techniques Optimum design Algorithmic languages Electrical engineering Systems analysis As complexity...

.... The cellular electrophysiology of the myocardial cells is very complex. Here, we briefly mention only the simplest model of the cell electrical activity in order to understand the macroscopic bidomain model. © Emerald Group Publishing Limited 2009 Numerical analysis Heart Modelling Algorithmic...

.... Algorithmic languages Approximation theory Optimization techniques Electromagnetism Hybrid genetic algorithms (GA), also known as memetic algorithms (MAs), are the combination of a GA and a local search method. MAs have demonstrated better results when compared to their basic versions (Moscato...

... the implementation of a GA optimisation system efficient and straightforward. Fuzzy logic Genetics Algorithmic languages This paper presents a general approach to complex hardware system optimisation using a hardware description language (HDL). Traditionally, hardware systems are optimised using...

... Genetics Algorithmic languages Simulation Optimization techniques The aim of this paper is to show the different performances of modern heuristics when they are used for electric and electromagnetic problems. Moreover, examples of symbiotic hybrid algorithms (HAs) are presented. The present...

... for high‐frequency electromagnetic field computation providing guaranteed error bound. © Emerald Group Publishing Limited 2007 Electromagnetic fields Finite element analysis Algorithmic languages It is natural to perform simulations in frequency domain, when structures are designed...

..., original is the use of the Jiles and Atherton hysteresis model for hysteresis loop description of soft‐magnetic composite material. Genetic modification Algorithmic languages Magnetism Composite materials Modelling The mathematical model for ferromagnetic hysteresis introduced by Jiles...

... between the surface U_T(P) and the plane U_Tp (Figure 3). The determination of the dangerous areas is carried out by a “quasi‐genetic” algorithm. © Emerald Group Publishing Limited 2004 Programming Algorithmic languages Soil testing As is well...

... problems with analytical solutions. Equation 2 Equation 1 © Emerald Group Publishing Limited 2004 Density measurement Reciprocating engines Algorithmic languages The scalar field as the electrostatic field (ES) in space is described by Poisson's in Ω...