Estimation Of Distribution Algorithms
Mostrando 1-12 de 19 artigos, teses e dissertações.
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1. Algoritmo de otimização bayesiano com detecção de comunidades / Bayesian optimization algorithm with community detection
ALGORITMOS de Estimação de Distribuição (EDAs) compõem uma frente de pesquisa em Computação Evolutiva que tem apresentado resultados promissores para lidar com problemas complexos de larga escala. Nesse contexto, destaca-se o Algoritmo de Otimização Bayesiano (BOA) que usa um modelo probabilístico multivariado (representado por uma rede Bayesiana)
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/10/2012
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2. AvaliaÃÃo de edidas de influÃncia local em modelos lineares espaciais t-Student / Evaluation of local influence measure in t-student linear spacial models
The system of precision agriculture considers that agricultural areas are not homogeneous, so, fertilizers and agricultural lime must be applied at different rates, according to chemical analyzes and physical properties of soil. The use of geostatistics with precision agriculture allows establishing spatial dependence relations among the sampled points. It i
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/02/2012
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3. Failure prognosis methods and offline performance evaluation
The capability of predicting failure events of systems and components can provide benefits in equipment operation and maintenance. For this reason, the subject of failure prognosis is gaining greater attention from academia and industry over the last years. This work presents novel contributions related to the development and performance evaluation of failur
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/12/2011
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4. Otimização em ambientes dinâmicos com variáveis contínuas empregando algoritmos de estimação de distribuição / Real-parameter optimization in dynamic environments using estimation of distribution algorithms
O dinamismo do mundo moderno traz consigo grandes desafios científicos e tecnológicos, particularmente junto a problemas de otimização. Problemas antes tratados de forma estática estão sendo reformulados para incorporar esse dinamismo, exigindo com isso novas estratégias de solução. Meta-heurísticas populacionais para otimização surgem então com
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/04/2011
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5. Modelos não lineares sob a classe de distribuições misturas da escala skew-normal / Nonlinear models based on scale mixtures skew-normal distributions
Neste trabalho estudamos alguns aspectos de estimação e diagnóstico de influência global e local de modelos não lineares sob a classe de distribuição misturas da escala skew-normal, baseado na metodologia proposta por Cook (1986) e Poon &Poon (1999). Os modelos não lineares heteroscedásticos também são discutidos. Esta nova classe de modelos const
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/07/2010
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6. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
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7. Estudo comparativo de métodos geoestatísticos de estimativas e simulações estocásticas condicionais / Comparative study of geostatistical estimation methods and conditional stochastic simulations
Different geostatistical methods present themselves as the optimal solution to different realities according to the characteristics displayed by the data in analysis. Some of the most popular estimation methods include ordinary kriging and lognormal ordinary kriging, this last one involving the transformation of data from their original space to a Gaussian d
Publicado em: 2009
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8. Estimation and diagnostic in Birnbaum-Saunders skew-normal models / Estimação e diagnostico em modelos Birnbaum-Saunders skew-normal
The class of models Birnbaum-Saunders (BS) appeared in problems of fatigue of materials (which is a structural damage that occurs when a material is exposed to stress and tension). Recently, this model has been applied in areas outside the context of fatigue of materials and engineering, for example in health sciences, environmental, forestry, demographic, a
Publicado em: 2009
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9. MÉTODOS PARA OTIMIZAÇÃO DOS AJUSTES DOS REGULADORES DE TENSÃO E ZONAS DE TAP EM SISTEMAS DE DISTRIBUIÇÃO / METHODS FOR OPTIMIZATION OF THE VOLTAGE REGULATORS AND TAP ZONES IN DISTRIBUTION SYSTEMS
The new regulations in the electric sector utilities have have requested greater efficiency and quality both in terms of continuity and in conformity of the energy supplied. Electrical equipments quality, efficiency and useful life depend directly of the power quality supplied. In addition to operation of equipments, supply of energy within the limits must b
Publicado em: 2009
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10. Methodology for calculation of spectrum requirements estimation for the future development of cell mobile system / Metodologia de cálculo de espectro para suportar a evolução do sistema móvel celular
This work presents a methodology for calculation of spectrum requirement estimation for future development of 3G and beyond-3G systems based on ITU-R recommendations. It presents a systematic approach that incorporates service category definitions, service environments, radio environments, market data analysis and traffic estimation for these categories and
Publicado em: 2007
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11. Modelagem de sistemas dinamicos não lineares utilizando sistemas fuzzy, algoritmos geneticos e funções de base ortonormal / Modeling of nonlinear dynamics systems using fuzzy systems, genetic algorithms and orthonormal basis functions
This work introduces a methodology for the generation and optimization of Takagi-Sugeno (TS) fuzzy models with Orthonormal Basis Functions (OBF) for nonlinear dynamic systems based on a genetic algorithm. Orthonormal basis functions have been used because they provide models with properties like absence of output feedback and the possibility to reach a reaso
Publicado em: 2006
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12. Exploring alternatives for the construction of neural spatial interaction models / Explorando alternativas para construção de modelos neurais de interação espacial
The rapid growth of Brazilian cities, without a previous planning of their expansion (including land use and occupation), causes many inconveniences for the population related to their transportation, as they must cover longer distances. This asks for an understanding of the city areas limits, the services currently offered to the community in each area, and
Publicado em: 2005