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Modelo Híbrido com Redes Neurais Artificiais e Algoritmos Evolucionários para Otimização do Consumo de Combustível em Embarcações que Utilizam Motor de Combustão Interna a Diesel
(Instituto Nacional da Propriedade Industrial (INPI), 2021-07-27) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
This document describes a computer program registered under number BR512023001328-5, which presents a hybrid model combining artificial neural networks and evolutionary algorithms. The objective of the program is to optimize fuel consumption on vessels that use diesel internal combustion engines. The hybrid approach allows to improve energy efficiency and reduce operational costs, being especially relevant for the naval sector. The program uses advanced artificial intelligence and optimization techniques, providing a powerful tool for marine engineers and operators seeking sustainable and efficient solutions. Program registration is valid for 50 years from January 1, 2022.
JP- NSGA-III
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-05-16) SIQUEIRA JUNIOR, Paulo Oliveira; LEITE, Jandecy Cabral
Registration of a computer program registered with the National Institute of Industrial Property (INPI), work derived from the dissertation "Hybrid model with artificial neural networks and evolutionary algorithms for optimizing fuel consumption on vessels using diesel internal combustion engines".