Expected value model for a fuzzy random warehouse layout problem

A warehouse layout problem under fuzzy random environment is considered, in which different types of materials need to be placed in a warehouse so that the total transportation cost is minimized. For convenience of handling, the materials in the same class need to be placed in the adjacent cells. As a result, we construct expected value model for the problem and then design a hybrid intelligent algorithm for this model. Finally, some numerical examples are presented to show the efficiency of the algorithm.