Random search algorithm applied to the design of double sampling plans

Authors

  • Mario César Vélez Gallego Universidad EAFIT

Keywords:

Non conventional optimization methods, Random search algorithm, Double sampling plans

Abstract

Non conventional optimization methods allow to find very good solutions for almost any problem, regardless of its complexity. This article proposes a random search algorithm for designing double sampling plans, and the results are then compared with those obtained through traditional methods given in technical literature.

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Author Biography

  • Mario César Vélez Gallego, Universidad EAFIT
    Maestro en Ingeniería Industrial de la Universidad de los Andes. Actualmente profesor del Departamento de Ingeniería de Producción de la Universidad EAFIT

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Published

2012-06-08

Issue

Vol. 40 No. 135 (2004)

Section

Artículos

How to Cite

Vélez Gallego, M. C. (2012). Random search algorithm applied to the design of double sampling plans. Revista Universidad EAFIT, 40(135), 28-39. https://publicaciones.eafit.edu.co/index.php/revista-universidad-eafit/article/view/871

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