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In this study we introduce a new method to solve the Dynamics Facility LayoutProblems (DFLPs). To represent each layout, we use the slicing tree methodintegrated with our proposed heuristic to obtain promising initial solutions.Then, we consider the case of adding new departments into the current layoutwith stochastic flows. We use simulation to model the complexity of stochasticnature of the problem. To improve the quality of the initial solution a geneticalgorithm is joined with the simulation module. Finally, to demonstrate theperformance of our method, we solve several cases existing in the literature toshow the efficiency of our algorithm.

Simulation based approach for solving Unequal Area Facility Layout Problems in Stochastic condition by Genetic Algorithm