COMPUTATIONAL META-HEURISTICS BASED ON MACHINE LEARNING TO OPTIMIZE FUEL CONSUMPTION OF VESSELS USING DIESEL ENGINES
Item
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Tipo do ITEM
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Artigo Ciêntifico
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Título do Artigo
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COMPUTATIONAL META-HEURISTICS BASED ON MACHINE LEARNING TO OPTIMIZE FUEL CONSUMPTION OF VESSELS USING DIESEL ENGINES
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Descrição
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With the expansion of means of river transportation, especially in the case of small and medium-sized
vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a
larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically
diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision
With the expansion of means of river transportation, especially in the case of small and medium-sized
vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a
larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically
diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision
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Abstract
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With the expansion of means of river transportation, especially in the case of small and medium-sized
vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a
larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically
diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision
With the expansion of means of river transportation, especially in the case of small and medium-sized
vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a
larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically
diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision
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Língua do arquivo
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inglês
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Data da Publicação
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Ano 0
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Palavra-chave
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Internal Combustion Engine (MCI)
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Optimization and Forecasting
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Artificial Neural Networks (RNA)
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Genetic Algorithm
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Meta-heuristics of computing
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Autores
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Paulo Oliveira Siqueira Júnior
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Manoel Henrique Reis Nascimento
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Ítalo Rodrigo Soares Silva
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Ricardo Silva Parente
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Milton Fonseca Júnior
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Jandecy Cabral Leite
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Local
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ITEGAM - Manaus, 2021
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Áreas de Conhecimento
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Otimização de Processos Industriais
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Turma
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0
