Examinando por Autor "Zec, C."

Mostrando 1 - 2 de 2
  • Miniatura
    ÍtemAcceso Abierto
    Resolución del manufacturing cell design problem utilizando el algoritmo Bat [A Bat algorithm to solve the manufacturing cell design problem]
    (IEEE Computer Society, 2016) Soto, R.; Crawford, B.; Zec, C.; Alarcon A.; Almonacid, B.
    Manufacturing Cell Design is a problem that is aimed at distributing the different machines of a center of production in cells, so that the parts of the final product to be manufactured with the least amount of travel in its manufacturing process. Bat Algorithm is an algorithm inspired by the behavior of echolocation in bats. Using a balance sheet of the frequency and automatic tuning of exploration and exploitation by controlling the rate of volume and emission pulses. The following work shows the resolution of the Manufacturing Cell Design, by means of Bat Algorithm, an algorithm that proved to be effective for this problem because it has reached the optimum in all problems with which the tests were conducted. © 2016 AISTI.
  • Miniatura
    ÍtemAcceso Abierto
    Solving manufacturing cell design problems by using a bat algorithm approach
    (Springer Verlag, 2016) Soto, R.; Crawford, B.; Alarcón, A.; Zec, C.; Vega, E.; Reyes, V.; Araya, I.; Olguín, E.
    Manufacturing Cell Design is a problem that consist in distributing machines in cells, in such a way productivity is improved. The idea is that a product, build up by using different parts, has the least amount of travel on its manufacturing process. To solve the MCDP we use the Bat Algorithm, a metaheuristic inspired by a feature of the microbats, the echolocation. This feature allows an automatic exploration and exploitation balance, by controlling the rate of volume and emission pulses during the search. Our approach has been tested by using a well-known set of benchmark instances, reaching optimal values for most of them. © Springer International Publishing Switzerland 2016.