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Autores Aragón Bohorquez, Arbey, Mejía Vega, Carlos Armando, Zapata Quimbayo, Carlos Andres
Publicado 2019-05-13
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“...genetic algorithms;...”Publicado 2019-05-13
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Autores Amador, Belkys T., Torrealba, Rafael R., Rojas, Maureen, Cappelletto, José, Müller-Karger, Carmen M.
Publicado 2012-10-04
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Publicado 2012-10-04
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Autores Domínguez Castaño, Andrés Hernando, Escobar Zuluaga, Antonio Hernando, Gallego Rendón, Ramón Alfonso
Publicado 2014-10-17
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“...Genetic algorithm...”Publicado 2014-10-17
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Autores Vélez Marín, Víctor Mario, Hincapié Isaza, Ricardo Alberto, Gallego Rendón, Ramón Alfonso
Publicado 2014-10-17
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“...The methodology is applied to two test cases: in the first, a comparative analysis with the Chu-Besley genetic algorithm is made to verify the efficiency of the proposed methodology; and in the second, the results are analyzed in a Colombian distribution system. ...”Publicado 2014-10-17
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Autores Suesca M, Edisson, Bermúdez C., Milena, Mejía M., Camilo, Cobo C., Luis Armando, Rodríguez U., Leonardo
Publicado 2016-09-01
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Publicado 2016-09-01
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Autores Tuirán, Manuel
Publicado 2021-10-11
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“...Artificial Intelligence, Machine Learning, Neural Networks, Cognitive Computing, Expert Systems, Algorithm, Genetic Algorithms, Computational Linguistics, Pathology, Radiology, Oncology....”Publicado 2021-10-11
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Autores Tuirán, Manuel
Publicado 2021-10-11
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“...Artificial Intelligence, Machine Learning, Neural Networks, Cognitive Computing, Expert Systems, Algorithm, Genetic Algorithms, Computational Linguistics, Pathology, Radiology, Oncology....”Publicado 2021-10-11
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Autores Coca Ortegón, Germán Augusto, Castrillón Gómez, Ómar Danilo, Ruiz Herrera, Santiago
Publicado 2013-10-16
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“...For this purpose, are taken and fused elements of genetic algorithms Vega and Moga, through the following steps: generating the initial population, form the new population, obtaining the appropriate analysis of variance and finally compared with a hybrid method of weighted sums and genetic algorithms.According to the above, when evaluating the solution faster processing time corresponding to the method based on algorithms Vega and Moga, respect to the solution faster processing time calculated from the method based on weighted sums and genetic algorithms, states that the first one exceeds the second performance as: for process time variable (in hours) at 27.86%, for variable in process time (in weeks) at 1.25%, in terms of the variable cost of direct labor in 6.73% and, as to the variable defective fraction in 25.85%.Sumário:Neste artigo apresentamos uma metodologia que visa minimizar ao mesmo tempo, em um ambiente de produção tipo “job shop” para uma empresa de engenharia, as seguintes variáveis: tempo de processo, custo de mão de obra direta e também a fração defeituosa gerada pela fadiga do operador. ...”Publicado 2013-10-16
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