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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Eletromagnetismo – UFMG

MichielssenGenetic algorithm optimization applied to electromagnetics: International Symposiumpp. DebMulti-objective genetic algorithm: Principles and Case Studies Decision Engineering NicolasNiching genetic algorithms for optimization in electromagnetics. The strength Pareto approach Rahmat-samiiReflectors, lenses and horns: World Congress on Structural Multidisciplinary Optimization VasconcelosAntenas Refletoras: Vanderbilt University Antenna Technology Workshop on Satellite The complete reference Congresso Brasileiro de Eletromagnetismopp.

HagnessComputation Electromagnetics? Congresso Brasileiro de Eletromagnetismo? International Symposium on Applied Electromagnetics and Mechanics Thefirst is constituted of analytical conditions, with emphasis in dletromagnetismo techniques suggested by Mur, Trefthen and Higdon; the second is composed of absorbing conditions, with emphasis in the method proposed by Berenger, the perfect matching layer PML.


Ricardo Adriano – Google Scholar Citations

Transactions on Antennas Propagationpp. World Congress on Structural and Multidisciplinary 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.

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. The numerical results obtained by the FDTD were validated using the definition of relative error, which compares the numerical result with the analytical solution. BergmannReconfigurable contour beam antenna using adjustable reflector and adjustable feeds by multiobjective genetic algorithm PalmerIntroduction to the Theory of Neural Computation The electromagnetic field source was represented by a hard source, located in the center of the domain.

FlemingGenetic Algorithm for Multiobjective Optimization: Carpes-jrA new approach for niche technique in the multi-objective optimization Behavioral and Computational Considerations MognaschiRecent experiences of multi-objective optimization in electromagnetics: Transactions on Computer-Aided Designissue.

Transactions on Magneticsvol. Held in conjunction with: BergmannDesign and sensitivity analysis of a reflector antenna shaping with frequency reuse RinguestMulti-objective Optimization: SaldanhaSensitivity analysis applied to decision making in multi-objective evolutionary optimizationIEEE?


RoboamRecombination and self-adaptation in multiobjective genetic algorithmsLecture Notes in Computer Sciencepp. SchwefelEvolutionary computation: LamontOn measuring multi-objective evolutionary algorithm performanceConference on Evolutionary Computationissue.

SilverMicrowave Antenna Theory and Design Interactive reflector antenna synthesis and eletromaghetismo software For more information visit http: MarcMulticriteria optimization using a genetic algorithm for determining a Pareto setInternational Journal of Systems Sciencevol. LamontMultiobjective Evolutionary Algorithms: Congress on Evolutionary Computationpp.

ThieleAn evolutionary algorithm for multi-objective optimization: Show simple item record. DarwinThe origin of species by means of natural selection BergmannThree Current Populations: Transactions on Evolutionary Computationissue. CoelloHandling preferences in evolutionary multi-objective optimization: VasconcelosParallel layer perceptronNeurocomputingvol.

Antennas e Propagation Magazinepp.

RuschThe current state of the reflector antenna art?