One important choice in manufacturing and service systems is the Facility Layout Problem (FLP). The proper architecture of the equipment is essential for achieving optimal use. Having the best facility configuration is crucial for lowering product costs and enhancing the efficiency of the manufacturing process. In order to reduce the cost of material handling, this research suggests a genetic approach for resolving the equal area facility layout problem. To answer the problem of facility layout, numerous optimizations and heuristic algorithms have been presented and published in the literature. The effectiveness of the suggested approach is assessed and contrasted with other methods. The proposed method's main benefit over competing strategies is that GA's coding is straightforward and it produces the majority of the optimal value compare to other approaches.