A Novel Hybrid ACO/SA Approach to Solve Stochastic Dynamic Facility Layout Problem (SDFLP) (original) (raw)

Communications in Computer and Information Science, 2012

Abstract

ABSTRACT This paper proposes a new hybrid algorithm using ant colony optimization and simulated annealing intelligent approaches to solve a stochastic dynamic facility layout problem in which product demands are normally distributed random variables with known probability density function that changes from period to period in a random manner. Finally, the performance of the proposed algorithm is compared with the simulated annealing and another approach using data taken from the literature.

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