Based on search state modeling and the first order search state model,the optimal control model of the probability to find a random motion target with a continuous search path is established. An approximation algorithm for the optimal search path is given with the dynamic programming principle. The examples show that the algorithm converges under the condition that the initial location and velocity of the target obey the circular normal distribution.