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URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/219
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Item Metodología propuesta para la optimización multicriterio mediante algoritmos genéticos en las aplicaciones industriales(INSTITUTO DE TECNOLOGIA, 2014) CASTRO, Andy Oliveira; BEZERRA, Ulysses Henrique; LEITE, Jandecy Cabral; AZEVEDO, Marcelo da Silva Sousa; José Antônio da Silva SouzaThis paper proposes a new methodology for multi-criteria optimization in modular chip mounters using the NSGA-II genetic algorithm. Fitness functions were modeled, and a multi-criteria optimization tool was created based on machine functions and constraints. The same approach can be applied to other types of machines to support decision-making in industrial environments, aiming at efficiency and cost reduction.Item Um Algoritmo Evolutivo para Aplicação na Compensação da Potência Reativa em Redes de Distribuição de Energia Elétrica(INSTITUTO DE TECNOLOGIA, 2017) AZEVEDO, Alysson Roberto; AZEVEDO, Manoel S. Santos; LEITE, Jandecy Cabral; BEZERRA, Ubiratan Holanda; ABRIL, Ignacio Pérez; Prof. Dr. Carlos Tavares da Costa JúniorThis article proposes the use of genetic algorithms for the multi-objective optimization of reactive power compensation in electric power distribution networks. The method aims to locate and size compensation units, such as capacitor banks and passive filters, to maximize economic benefits and maintain power quality indices according to Brazilian standards. The study includes the analysis of a real case in the Manaus Industrial Pole (PIM), demonstrating the approach's effectiveness in scenarios with low and high harmonic penetration.