Orlando Duran A.^1*, Luis Pérez P.², and Felipe Olmos de Aguilera³

¹ Pontificia Universidad Católica de Valparaíso, Chile. *Corresponding author (e-mail: orlando.duran@ucv.cl).

² Universidad Técnica Federico Santa María, Chile. (e-mail: luis.perez@usm.cl).

³ Universidad Técnica Federico Santa María, Chile. (e-mail: felipe.olmosdeaguilera@gmail.com).

Manuscript received on August 16, 2014 ]]> Accepted for publication on September 22, 2014
Published on November 15, 2014.

Abstract

This work proposes a genetic algorithm for optimization of the cell formation problem with alternative routings. A series of test problems were generated and used to evaluate the performance of the proposed Genetic Algorithm and a Simulated Annealing algorithm as well. The novelty of the proposed work lies in the representation technique and the transformations that allow treating the original multidimensional problem as a two-dimensional one. That simplified the programming tasks and the resolution method.

Key words: Manufacturing systems design, manufacturing cells, computational intelligence, genetic algorithms, simulated annealing.

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