Hybrid Genetic Algorithms
Mostrando 1-12 de 40 artigos, teses e dissertações.
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1. ON AN INTEGRATED DYNAMIC CHARACTERIZATION OF VISCOELASTIC MATERIALS BY FRACTIONAL DERIVATIVE AND GHM MODELS
Abstract The passive vibration control of mechanical systems under unwanted vibrations can be accomplished in a very effective way by using devices incorporating viscoelastic materials. The design of such devices requires a broad knowledge of the dynamic properties of the employed viscoelastic material, usually supplied by adequate mathematical models. Among
Lat. Am. j. solids struct.. Publicado em: 14/03/2019
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2. Identifying Mechanical Properties of Viscoelastic Materials in Time Domain Using the Fractional Zener Model
Abstract The present paper aims at presenting a methodology for characterizing viscoelastic materials in time domain, taking into account the fractional Zener constitutive model and the influence of temperature through Williams, Landel, and Ferry’s model. To that effect, a set of points obtained experimentally through uniaxial tensile tests with different
Lat. Am. j. solids struct.. Publicado em: 2017-01
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3. DEVELOPMENT OF A HYBRID FUZZY GENETIC ALGORITHM MODEL FOR SOLVING TRANSPORTATION SCHEDULING PROBLEM
ABSTRACT There has been an increasing public demand for passenger rail service in the recent times leading to a strong focus on the need for effective and efficient use of resources and managing the increasing passenger requirements, service reliability and variability by the railway management. Whilst shortening the passengers’ waiting and travelling time
JISTEM J.Inf.Syst. Technol. Manag.. Publicado em: 2015-12
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4. Desenvolvimento e avaliação de algoritmos para composição dinâmica de web services baseada em QoS / Development and evaluation of algoritms for the QoS-aware web services composition problem
This MSc dissertation addresses the QoS-aware Web services composition (QWSC) problem. The field of e-commerce systems was selected because it comprises an area in wide expansion, both in national and international scenarios. Furthermore, e-commerce systems can benefit from QWSC due to its interoperability and compliance to the requirements of quality of ser
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/06/2012
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5. A hybrid methodology to solve the container loading problem with weight distribution and cutting problems
Transport of goods has represented an important role in economic development throughout the history and ship containerization brought great advantages. Its invention in mid-1950s brought down the cost of transport and reduced time for loading and unloading cargo. Consequently, it increased efficiency of port working and reduced handling cargo to hours instea
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/09/2011
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6. UMA ABORDAGEM HÍBRIDA BIO-INSPIRADA APLICADA À MELHORA NA QUALIDADE DO RECONHECIMENTO DE PADRÕES / A HYBRID APPROACH APPLIED BIO-INSPIRED TO IMPROVE THE QUALITY OF RECOGNITION STANDARDS
Esta dissertação propõe uma nova abordagem híbrida, bio-inspirada, aplicada à melhora na qualidade do reconhecimento de padrões. Busca-se assim agregar, a capacidade de clusterização das colônias de formigas, com a capacidade de classificação supervisionada das redes neurais artificiais, projetadas automaticamente com algoritmos genéticos. Assim,
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/04/2011
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7. FUZZYFUTURE: TIME SERIES FORECASTING TOOL BASED ON FUZZY-GENETIC HYBRID SYSTEM / FUZZYFUTURE: FERRAMENTA DE PREVISÃO DE SÉRIES TEMPORAIS BASEADA EM SISTEMA HÍBRIDO FUZZY-GENÉTICO
A previsão de séries temporais está presente em diversas áreas como os setores elétrico, financeiro, a economia e o industrial. Em todas essas áreas, as previsões são fundamentais para a tomada de decisões no curto, médio e longo prazo. Certamente, as técnicas estatísticas são as mais utilizadas em problemas de previsão de séries, principalmen
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 06/04/2011
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8. 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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9. 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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10. Algoritmo híbrido para projeto de controladores de amortecimento de sistemas elétricos de potência utilizando algoritmos genéticos e gradiente descendente / Hybrid algorithm for damping controller design in electric power systems via genetic algorithms and gradient descent
Os sistemas elétricos de potência são frequentemente submetidos a perturbações causadas, por exemplo, por um aumento súbito de carga ou por um curto-circuito em uma linha de transmissão. Estas perturbações podem gerar oscilações eletromecânicas no sistema, uma vez que a velocidade dos geradores oscila. Para reduzir tais oscilações, controladore
Publicado em: 2011
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11. On the effects of uncertainty on optimum structural design / Estudo do efeito de incertezas na otimização estrutural
In this study the effects of uncertainty on optimum structural design are investigated, by comparing three distinct formulations of a structural optimization problem. Such effects can be quantified in terms of failure probabilities and risk, or expected costs of failure. Deterministic Design Optimization (DDO) allows one the find the shape or configuration o
Publicado em: 2010
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12. PROJETO, OTIMIZAÇÃO, SIMULAÇÃO E PREDIÇÃO DE PROPRIEDADES DE NANOESTRUTURAS ATRAVÉS DE TÉCNICAS DA INTELIGÊNCIA COMPUTACIONAL: NANOTECNOLOGIA COMPUTACIONAL INTELIGENTE / DESIGN, OPTIMIZATION, SIMULATION AND PREDICTION OF NANOSTRUCTURES PROPERTIES BY COMPUTATIONAL INTELLIGENCE TECHNIQUES: INTELLIGENT COMPUTATIONAL NANOTECHNOLOGY
This thesis investigates the Intelligent Computational Nanotechnology, that is, the support of Computational Intelligence (CI) techniques in the challenges faced by the Nanoscience and Nanotechnology. For example, Neural Networks are used for build Inference systems able to relate a set of input parameters with the final characteristics of the nanostructures
Publicado em: 2009