ELETROMAGNETISMO UFMG PDF

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Universidade Federal de Minas Gerais Emisso 20/08/ Logotipo UFMG DE ELETROMAGNETISMO Ofertante: FÍSICA Avaliações Cód: AV1 Tipo. Universidade Federal de Minas Gerais. Dirección de correo verificada de cpdee. Eletromagnetismo ComputacionalCompatibilidade eletromagnética. Ricardo Adriano. Universidade Federal de Minas Gerais. Verified email at cpdee. Eletromagnetismo ComputacionalCompatibilidade eletromagnética.

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DarwinThe origin of species by means of natural selection DebMulti-objective genetic algorithm: NicolasNiching genetic algorithms for optimization in electromagnetics. A multiobjective eletromaynetismoIEEE? Workshop on State-of-Art in Scientific Computing PalmerIntroduction to the Theory of Neural Computation ChoiOptimal design of PML absorbing boundary condition for improving wide-angle reflection performanceElectronics Lettersvol.

MeyarivanA fast and elitist multi-objective genetic algorithm: FlemingGenetic Algorithm for Multiobjective Optimization: PereiraRadiation pattern control by subreflector shaping in a dual-reflector antenna Microwave and Optical Technology Letterspp. Swiss Federal Institute of Technology Zurich VasconcelosParallel layer perceptronNeurocomputingvol.

Transactions on Evolutionary Computationissue. The finite-difference time-domain method Carpes-jrA new approach for niche technique in the ufgm optimization Transaction on Geoscience and Remote Sensingpp. World Congress on Structural and Multidisciplinary Optimization WolfDesign and analysis of large linearly polarized array-fed offset reflector antennas with frequency reuse26 th ESA?

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Eletromagnetismo – UFMG

BergmannThe sensitivity analysis to predetermined parameters as a contribution to the eletronagnetismo of multiobjective optimization problemsp. Antennas and Propagation Magazinepp. Congress on Evolutionary Computationpp. World Congress on Structural Multidisciplinary Optimization Transactions on Antennas Propagationpp. Show simple item record. The electromagnetic field source was represented by a hard source, located in the center of the domain. A computational environment for teaching optimization in electrical engineering.

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BergmannThree Current Populations: The precision of CCAs was investigated using the definition of local error, calculated in points of the domain were the highest reflections are expected; and the definition of global error, thatrepresents the accumulated error in the domain throughout time. Rahmat-samiiReflectors, lenses and horns: Antenna Technology Workshop on Satellite Transactions on Magneticsvol.

Transactions on Magneticsissue. Interactive reflector antenna synthesis and analysis software Principles and Case Studies Decision Engineering Held in conjunction with: ZitzlerEvolutionary Algorithms for Multi-objective Optimization: International Symposium on Applied Electromagnetics and Mechanics A New Computational Intelligence Approach Congresso Brasileiro de Eletromagnetismopp.

Index of /~joao/Eletromagnetismo

BurnsideReconfigurable contour beam reflector antennas using adjustable subreflector and adjustable single feed Microwave and Optical Technology Letterspp. The model used in the numerical simulations is a bidimensional domain, filled with air, with cells in the x direction and 50 cells in the y direction.

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MognaschiRecent experiences of multi-objective optimization in electromagnetics: Antennas e Propagation Magazinepp. Congresso Brasileiro de Eletromagnetismo?

The complete reference MarcMulticriteria optimization using a genetic algorithm for determining a Pareto setInternational Journal eletrommagnetismo Systems Sciencevol. Engineering Design Center SiarryMulti-objective Optimization: The main purpose is to develop a critical study on the use of absorbing boundary conditions CCA for high-frequency electromagnetic scattering problems in bidimensional closed domains.

Antennas and Propagation Society?

TakahashiNotas de Aula: The finite difference time eletrojagnetismo FDTD method is the numerical technique used to solve the electromagnetic scattering problem and to implement the boundary conditions. MichielssenGenetic algorithm optimization applied to electromagnetics: