Método híbrido entre el algoritmo genético de chu-beasley y simulated annealing para la solución del problema de asignación generalizada


Authors

  • Eliana M. Toro Ocampo
  • Mauricio Granada E.

Abstract

Este artículo presenta una metodología híbrida entre el algoritmo genético desarrollado por Chu-Beasley adecuado al Problema de Asignación Generalizada y el algoritmo Simulated Annealing. Se propone generar la población inicial utilizando una metodología heurística constructiva basada en factores de sensibilidad y se modifica el modelo matemático tradicional del problema de asignación generalizada incorporando factores de penalización.

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Published

2005-01-10

How to Cite

Toro Ocampo, E. M., & Granada E., M. (2005). Método híbrido entre el algoritmo genético de chu-beasley y simulated annealing para la solución del problema de asignación generalizada. Scientia Et Technica, 2(28). Retrieved from https://revistas.utp.edu.co/index.php/revistaciencia/article/view/6797

Issue

Vol. 2 No. 28 (2005)

Section

Eléctrica

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