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Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm.

, , and . Int. J. Syst. Sci., 45 (5): 1080-1100 (2014)

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A review of the bacterial foraging algorithm in constrained numerical optimization., , and . IEEE Congress on Evolutionary Computation, page 2695-2702. IEEE, (2013)Stepsize control on the modified bacterial foraging algorithm for constrained numerical optimization., , and . GECCO, page 25-32. ACM, (2014)Bacterial Foraging Optimization Algorithm for Menu Planning., , , , and . IEEE Access, (2018)Two-Swim Operators in the Modified Bacterial Foraging Algorithm for the Optimal Synthesis of Four-Bar Mechanisms., , , , , and . Comput. Intell. Neurosci., (2016)Balanceo de datos del Síndrome de Guillain-Barré utilizando SMOTE para la clasificación de subtipos., , , and . Res. Comput. Sci., 148 (7): 113-125 (2019)Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm., , and . Int. J. Syst. Sci., 45 (5): 1080-1100 (2014)Clasificadores basados en reglas y selección de atributos para el diagnóstico clínico de subtipos del Síndrome de Guillain-Barré., , , , and . Res. Comput. Sci., 149 (8): 41-53 (2020)Comparative Study of Optimizers in the Training of a Convolutional Neural Network in a Binary Recognition Model., , , and . Res. Comput. Sci., 150 (4): 73-82 (2021)Rendimiento de los métodos de sobremuestreo para los modelos predictivos del Síndrome de Guillain-Barré., , , and . Res. Comput. Sci., 149 (8): 55-69 (2020)On combining numerical optimization techniques with a belief merging approach., , and . LANMR, volume 2264 of CEUR Workshop Proceedings, page 51-62. CEUR-WS.org, (2018)