Uncapacitated Facility Layout Problem with Stochastic Demands

In the paper we consider an uncapacitated facility layout problem with stochastic demands. A framework of stochastic programming for the problem is constructed. We formulate it by the expected value models, the maximax and minimax chance-constrained programming models and the dependent-chance programming models. For solving these models eciently, we integrate stochastic simulations, neural networks and genetic algorithm to design a hybrid intelligent algorithm. Finally a numerical example is presented to illustrate the eectiveness of the proposed algorithm