Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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2014 - 20154

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Assunto: search.filters.subject.Algoritmos Genéticos

Resultados da Pesquisa

Agora exibindo 1 - 4 de 4
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    Otimização Multiobjetivo de Filtros Harmônicos Passivos para Instalações Industriais Usando Técnicas de NSGA-II
    (INSTITUTO DE TECNOLOGIA, 2015) LEITE, Jandecy Cabral; ABRIL, Ignacio Perez; AZEVEDO, Manoel Socorro Santos; MEDEIROS, Adelson Bezerra de; NASCIMENTO, Manoel Henrique Reis; VALENZUELA, Walter Andres Vermehren; Prof. Dr. Waldinei Rosa Monteiro.
    This paper presents a mathematical method and a computational tool for the selection and sizing of passive harmonic filters in industrial systems using the NSGA-II genetic algorithm. The goal is to maximize the economic benefits of the project, minimize harmonic distortion in the PCC current and bus voltages, and comply with power quality standards (ANEEL and IEEE 519-92). The results demonstrate the method's effectiveness in determining filter parameters, selecting configurations, and addressing multiple operational scenarios.
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    Impacto ecológico de los Intercambiadores de calor de tubo y coraza
    (INSTITUTO DE TECNOLOGIA, 2014) REYES-RODRÍGUEZ, Maida Bárbara; MOYA RODRÍGUEZ, Jorge Laureano; CRUZ FONTICIELLA, Oscar Miguel; Prof Dr. Walter Barra Junior
    Shell and tube heat exchangers are essential components in chemical process industries. This paper proposes a new expression to evaluate their environmental impact, combining the “entransy dissipation” concept — introduced as an alternative to entropy — with Angulo-Brown’s “ecological function.” A multi-objective optimization considering irreversibilities and cost is also conducted, using genetic algorithms as the solving method.
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    Uso de Algoritmo Cultural com uma Nova Abordagem Memética por meio do Simulated Annealing para o Problema do Caixeiro Viajante
    (INSTITUTO DE TECNOLOGIA, 2014) SILVA, Deam J. A.; SILVA, Joaquim A. L.; AFFONSO, Carolina M.; OLIVEIRA, Roberto C. L.; MAGALHÃES, Edilson Marques
    The paper proposes a hybrid algorithm combining Cultural Algorithms (CAs) and Genetic Algorithms (GAs), with local search via simulated annealing and 2-opt/3-opt heuristics, to solve the Traveling Salesman Problem (TSP). The aim is to overcome premature convergence and local optima traps common in traditional metaheuristics. Experiments with 442 and 532-city instances showed that the approach achieved solutions close to the known optimum, outperforming other methods in the literature.
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    Estudo da Parametrização do Algoritmo Híbrido Baseado no Algoritmo Cultural com Algoritmo Genético em uma Abordagem Multipopulacional​
    (Universidade Federal do Pará, 2015) SILVA JUNIOR, Joaquim Alberto Leite da​; Prof. Dr. Roberto Célio Limão de Oliveira
    This paper analyzes the application of a hybrid cultural algorithm with a population generated by the genetic algorithm's multipopulation feature. The main objective is to develop a parameterization of the hybrid algorithm based on the cultural algorithm with a genetic algorithm for the multidimensional knapsack problem. Several experiments were conducted to evaluate the performance of these hybrid mechanisms compared to other algorithms available in the literature​