At present, finding the optimal field layout is a trial-and-error process based on the engineers’ experience. Such a process is tedious and time-consuming, additionally, it cannot guarantee the global optimum, i.e., the minimum cost with risks and engineering constraints taken into consideration. Therefore, we have aimed to develop a global optimal method with high efficiency for subsea field layout optimization to reduce the overall cost under various engineering constraints.