In this paper a dynamic LAYOUT optimization of a construction site is performed using genetic algorithm (DSL-GA). In this method considering the time table and the possibility of replacing the facilities in different time periods, LAYOUT design is performed. The formation of a proper and logical chromosome matrix in relation with dynamic LAYOUT is one of the main characteristics of the present model.For comparison of the performance of the present model, the problem of the dynamic site LAYOUT of the Rosenblatt which is a special case of the DSL-GA is considered. The results of the present method are compared to those of the Rosenblatt model. These results show that the high capability of the present model in performing the dynamic LAYOUT optimization.

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In today's economy, manufacturing plants must be able to operate efficiently and respond quickly to changes in the product mix and demand. [1] LAYOUT design has a significant impact on manufacturing efficiency. Initially, it was treated as a static decision but due to improvements in technology, it is possible to rearrange the manufacturing facilities in different scenarios. The Plant LAYOUT affects on the total cost in the industry. Nowadays Dynamic LAYOUT is becoming an important issue. Dynamic LAYOUT is the different LAYOUT at different time periods to satisfy the needs of industry, due to change in product, or reduced product life cycle, or change in demand. LAYOUT problem is a quadratic assignment problem, and for larger size problems it becomes impossible to be solved. So, for solving this problem Meta heuristic algorithms are used. In this paper, Dynamic LAYOUT problem is solved using Genetic algorithm. This Dynamic Problem is restricted up to two-time periods only.