Genetic Algorithms Applications
Mostrando 1-12 de 44 artigos, teses e dissertações.
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1. A Genetic Algorithm for Pointwise Source Reconstruction by the Method of Fundamental Solutions
ABSTRACT Inverse source reconstruction problems offer great potential for applications of interest to engineering, such as the identification of polluting sources, and to medicine, such as electroencephalography, to cite at least two relevant examples. From a mathematical point of view, the identification of a concentrated source (intensity and location) cor
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
Abstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the
REM, Int. Eng. J.. Publicado em: 2021-06
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3. Optimal design of beam-column connections of plane steel frames using the component method
Abstract This paper presents a methodology for optimization of beam-column connections of plane steel frames. The objective is to obtain beam- column connections mechanically more efficient and with minimum cost by determination of the optimal dimensions for the components of the connection; satisfying mechanical constraints associated with the bending momen
Lat. Am. j. solids struct.. Publicado em: 29/10/2018
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4. Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
Abstract Introduction Intuitive prosthesis control is one of the most important challenges in order to reduce the user effort in learning how to use an artificial hand. This work presents the development of a novel method for pattern recognition of sEMG signals able to discriminate, in a very accurate way, dexterous hand and fingers movements using a reduce
Res. Biomed. Eng.. Publicado em: 17/08/2017
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5. Research and Applications of Shop Scheduling Based on Genetic Algorithms
ABSTRACT Shop Scheduling is an important factor affecting the efficiency of production, efficient scheduling method and a research and application for optimization technology play an important role for manufacturing enterprises to improve production efficiency, reduce production costs and many other aspects. Existing studies have shown that improved genetic
Braz. arch. biol. technol.. Publicado em: 20/10/2016
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6. Evaluation of a proposed optimization method for discrete-event simulation models
Optimization methods combined with computer-based simulation have been utilized in a wide range of manufacturing applications. However, in terms of current technology, these methods exhibit low performance levels which are only able to manipulate a single decision variable at a time. Thus, the objective of this article is to evaluate a proposed optimization
Pesqui. Oper.. Publicado em: 30/11/2012
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7. Busca por estruturas causais no contexto de modelos mistos em genética quantitativa
Structural Equation Models (SEM) can be used to study recursive and simultaneous relationships in multivariate analyses. Nonetheless, the number of different recursive causal structures that can be used for fitting a SEM to multivariate data can be huge, even when only a few traits are considered. In recent applications of SEM in mixed model quantitative gen
Publicado em: 2010
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8. Algoritmo de roteamento Anycast baseado em algoritmos genéticos para redes tolerantes a atrasos e desconexões / Anycast Routing Algorithm Based on Genetic Algorithms for Delay and Disruption Tolerant Networks
DTNs (Delay and Disruption Tolerant Networks) have the potential to interconnect devices and areas of the world that are underserved by traditional networks. The development of these networks can lead to the revolution of the technology information for the population in developing countries which lack infrastructure, especially in remote and rural regions. I
Publicado em: 2010
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9. MODELO HIDRÁULICO BASEADO NO MÉTODO DAS CARACTERÍSTICAS E ALGORITMOS GENÉTICOS PARA OTIMIZAÇÃO DA OPERAÇÃO DE REDES DE ABASTECIMENTO DE ÁGUA E DE ESTAÇÕES DE BOMBEAMENTO
A hydraulic model was developed for simulation of water supply networks using the Method of Characteristics (MOC), introducing new features to the CALHIDREDMT model, proposed by Righetto (1994). The model uses the concept of pseudo-transient, using a fictitious value for the wave celerity. Simulations were performed in networks equipped with reservoirs, tank
Publicado em: 2010
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10. 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
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11. Algoritmos genéticos multiobjetivos aplicados ao roteamento multicast com qualidade de serviço
Multicast Routing is an effective way to communicate between multiple routers into computer networks. In general, the quality of service (QoS) is required in most of multicast applications. Several researchers have investigated the application of genetic algorithms in multicast Routing with QoS restrictions. The evolutionary environments proposed in this dis
Publicado em: 2009
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12. Algoritmos genéticos aplicados à proteção e estimação de harmônicos em sistemas elétricos de potência / Genetic algorithms applied to protection and harmonic estimation in electric power systems
The aim of electric power systems is to generate electricity and to deliver it continuously to the end-user in an acceptable standard. Therefore, different applications using genetic algorithms (GAs) to solve electric power system problems are presented in this work. Harmonic estimation, frequency relays and distance protection are the subjects investigated
Publicado em: 2008