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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BergmannThree Current Populations: Antennas and Propagation Magazinepp.

Engineering Design Center Congresso Brasileiro de Eletromagnetismo? ThieleAn evolutionary algorithm for multi-objective optimization: BergmannDesign and eletromagjetismo analysis of a reflector antenna shaping with frequency reuse Congresso Brasileiro de Eletromagnetismopp.

SiarryMulti-objective Optimization: The electromagnetic field source was represented by a hard source, located in the center of the domain.

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Antenna Technology Workshop on Satellite A New Computational Intelligence Approach SilverMicrowave Antenna Theory and Design RoboamRecombination and self-adaptation in multiobjective genetic algorithmsLecture Notes in Computer Sciencepp.

Show simple item record. VasconcelosAn educational tool for teaching optimization in engineering. DarwinThe origin of species by means of natural selection BurnsideReconfigurable contour beam reflector antennas using adjustable subreflector and adjustable single feed Microwave and Optical Technology Letterspp.


MognaschiRecent experiences of multi-objective optimization in electromagnetics: PalmerIntroduction to the Theory of Neural Computation In particular, the investigation is focused in the precision of two sets of CCAs. SchafferMultiple objective optimization with vector evaluated genetic algorithmsFirst International Conference on Genetic Algorithmpp.

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LamontMultiobjective Evolutionary Algorithms: MichielssenGenetic algorithm optimization applied to electromagnetics: Analyzing the State-of-the-ArtEvolutionary Computationvol. HagnessComputation Electromagnetics? Held kfmg conjunction with: The strength Pareto approach LamontEvolutionary algorithms for solving multi-objective problems genetic algorithms and evoluationary computation