... few individual. For the real‐value mutation, the implementation rule is shown below: Equation 2 where: s – a positive constant; and Φ – a random vector to produce a small perturbation on the old chromosome. Systems analysis Power measurement Algorithmic languages...

...∈R^m×k – system uncertainties. U _d ∈R^k×1 – unknown disturbances vector. y_d – scalar measured output. Algorithmic languages Control systems Systems theory Electric motors The main goal...

..., and the extreme values have a better fitness and are feasible. © Emerald Group Publishing Limited 2009 Electromagnetism Optimization techniques Algorithmic languages The optimal design of solenoids is a typical optimization problem in electromagnetics and Loey's solenoid design problem...

... primary objective function was minimized, while the other was used as a constraint. Equation 1 Equation 2 Equation 3 Marcin Ziolkowski Magnetic devices Electrical engineering Optimization techniques Algorithmic languages Magnetic induction...

... algorithms, but so far few algorithms have used a measure to guide the search. Electromagnetism Optimization techniques Algorithmic languages Electrical engineering Evolutionary algorithms (EAs) are a class of nonlinear optimization approaches based on natural selection and Darwin's principle...

... 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 explained above...

... Emerald Group Publishing Limited 2009 Numerical analysis Heart Modelling Algorithmic languages Cardiac arrhythmias (disruptions of the regular heart rhythm) are a leading cause of death and disability among the world's population. The physiological mechanism of arrhythmias involves...

... be contacted at: elizabeth@cpdee.ufmg.br © Emerald Group Publishing Limited 2007 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...

... for high‐frequency electromagnetic field computation providing guaranteed error bound. © Emerald Group Publishing Limited 2007 Electromagnetic fields Finite element analysis Algorithmic languages Any discretisation method suffers from discretisation error (Salazar‐Palma et al...

... entity are connected. © Emerald Group Publishing Limited 2007 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...

... 2007 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...

... 2006 Genetic modification Algorithmic languages Magnetism Composite materials Modelling The mathematical model for ferromagnetic hysteresis introduced by Jiles and Atherton (  Jiles, 1989 ; Jiles and Thoelke, 1989) (J‐A model) is made in compliance with physical principles...

... problems with analytical solutions. © 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 and by boundary conditions on Γ (): Equation 1 Equation...

... Limited 2004 Programming Algorithmic languages Soil testing As is well‐known, a grounding system leaking a fault current I_F generates touch voltages U_T(P) in all the points P of the soil surface. These voltages can be dangerous...