As global economic competition and cooperation become more and more drastic, the enterprise’s facility layout needs to be more flexible to adapt to the rapidly changing environment. Therefore, attention should be given to the dynamical nature of the facility layout. In other words, the flow of materials between departments changes during the planning horizon (multiple periods) and should be considered. This problem is known as the dynamic facility layout problem (DFLP). Therefore, the DFLP is the problem of efficiently arranging the departments within a facility during a multi-period planning horizon such that the sum of material handling and rearrangement costs is minimized. In general view, layout problems are not only dealing with quantitative analysis of material handling costs, but also dealing with qualitative information on how different activities can influence on layout problem. In this research, for planning facility layout, distance-based and adjacency-based functions were simultaneously considered and a multi objective dynamic facility layout problem was presented. To solve the model, ideal multi objective optimization procedure has been used. In step 1, two stroked="f" filled="f" path="m@4@5l@4@11@9@11@9@5xe" o:preferrelative="t" o:spt="75" coordsize="21600,21600" -constraint method and also, three meta-heuristics namely NSGA-II, DE, PSA have been applied. To test the performance of the methods, data sets taken from the literature was used in the analysis. The results obtained show that two meta-heuristics NSGA-II and DE are more efficient techniques for solving the DFLP than the other methods. In step 2, TOPSIS method has been applied for selection the best solution from non-dominated set.