System Of Genetic Algorithm
Mostrando 25-36 de 116 artigos, teses e dissertações.
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25. Sistemas de detecção de intrusão com técnicas de inteligência artificial / Intrusion detection systems with artificial inteligence technics
Due the increase of the amount of important information on computer networks, security has became primordial to ensure the integrity, confidentiality and availability of data traffic. To improve security, there are useful tools such as Firewalls and Intrusion Detection Systems (IDS). Currently, methods of Artificial Intelligence (AI) are used to improve thes
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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26. PROPOSTA DE UM SISTEMA HÍBRIDO COMPOSTO POR REDES NEURAIS ARTIFICIAIS E ALGORÍTMOS GENÉTICOS PARA O TRATAMENTO DE ALARMES E O DIAGNÓSTICO DE FALTAS EM SISTEMAS ELÉTRICOS DE POTÊNCIA / PROPOSAL OF A HYBRID SYSTEM COMPOSED OF ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS FOR THE TREATMENT OF ALARMS, AND FAULT DIAGNOSIS IN ELECTRICAL POWER SYSTEM
This work proposes a hybrid system for alarm processing and fault diagnosis in electrical networks which use two methods of computational intelligence: Generalized Regression Neural Network and Genetic Algorithms. The neural network has the function of processing the set of received alarms and present as a response the characteristic(s) event(s), using for t
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/02/2011
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27. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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28. Modeling the potential distribution of the invasive golden mussel Limnoperna fortunei in the Upper Paraguay River system using limnological variables.
The invasive golden mussel, Limnoperna fortunei (Dunker, 1857), was introduced into the La Plata River estuary and quickly expanded upstream to the North, into the Paraguay and Paraná rivers. An ecological niche modeling approach, based on limnological variables, was used to predict the expansion of the golden mussel in the Paraguay River and its tributarie
Brazilian Journal of Biology. Publicado em: 2011
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29. Essays on decision sciences: exploring cognition, information processing, and complexity
This thesis provides three original contributions to the field of Decision Sciences. The first contribution explores the field of heuristics and biases. New variations of the Cognitive Reflection Test (CRT--a test to measure "the ability or disposition to resist reporting the response that first comes to mind"), are provided. The original CRT (S. Frederick [
Publicado em: 30/03/2010
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30. Modelagem, simulação da operação e otimização multiobjetivo aplicadas ao problema de despacho de veículos em Minas a céu aberto
This work presents the study, analysis and an original mathematical model of the dispatch problem of vehicles in pit mines from the point of view of multiobjective optimization. In addition, is discussed and presented the development of a computer system for simulation of a virtual mine operation, which possesses several characteristics for purposes of gener
Publicado em: 2010
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31. MODELOS DE CARGAS BASEADOS EM MEDIÇÕES PARA SIMULAÇÕES DINÂMICAS EM SISTEMAS ELÉTRICOS DE POTÊNCIA / MEASUREMENT-BASED LOAD MODELING FOR DYNAMIC SIMULATIONS ON ELECTRIC POWER SYSTEMS
This work describes a measurement-based load modeling methodology, using voltage and current data registered during power system disturbances. These load models are used on computational simulations for predicting power system stability after disturbances of system operational points. Practical results are presented of the proposed methodology, defining load
Publicado em: 2010
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32. Análise de desempenho de algoritmos evolutivos no domínio do futebol de robôs / Performance analysis of evolutionary algorithms in the robot soccer domain
Muitos problemas de otimização em ambientes multiagentes utilizam os algoritmos evolutivos para encontrar as melhores soluções. Uma das abordagens mais utilizadas consiste na aplicação de um algoritmo genético, como alternativa aos métodos tradicionais, para definir as ações dos jogadores em um time de futebol de robôs. Entretanto, conforme relata
Publicado em: 2010
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33. Methods for truck dispatching in open-pit mining.
Material transportation is one of the most important aspects of open-pit mine operations. The problem usually involves a truck dispatching system in which decisions on truck assignments and destinations are taken in real-time. Due to its significance, several decision systems for this problem have been developed in the last few years, improving productivity
Publicado em: 2010
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34. Algoritmos evolucionÃrios multipopulaÃÃo na otimizaÃÃo multiobjetiva da remediaÃÃo de Ãguas subterrÃneas / Multi-population Evolutionary Algorithm Multi-Objective Optimization of Groundwater Remediation
Through the last three decades the evolutionary algorithms have been successful on application to many areas. Easily applied, efficiency and confidence are the main advantages of the evolutionary algorithms. In the groundwater remediation, generally, the objectives are the cost minimization, minimization of contaminant presence, maximization of pumping effic
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/07/2009
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35. A fly-by-wire rudder control system design using multiobjective optimization.
This work aims to demonstrate an approach to design a fly-by-wire mobile surface control system for a commercial jet employing multiobjective optimization techniques. This approach consists on sizing a set of design parameters of the control system based on model simulation and response analysis coupled with optimization algorithms in a multiobjective design
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/03/2009
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36. Intelligent techniques for system identification and controller tuning in pH process
This paper presents an application of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for system identification for controller tuning in a pH process. In this paper, the ANN based approach is applied to estimate the system parameters. Once the variations in parameters are identified frequently, GA optimally tunes the controller. The simulation res
Brazilian Journal of Chemical Engineering. Publicado em: 2009-03