In aircraft path planning,the traditional Sparrow Search Algorithm (SSA) has such shortcomings as complex calculation process and the tendency of falling into local solutions.To solve the problems,an SSA that combines Whale search factor with Cauchy-Gaussian variation,called WSSA,is proposed.Firstly,the population is initialized with the help of the best point set method.Secondly,the adaptive weight iteration factor is formed by using the spiral search factor in the whale algorithm,which improves the global search ability of the algorithm and ensures local convergence.Then,the Cauchy-Gaussian variant factor is added to the follower position update to perturb the original iteration to improve the global optimization ability of the algorithm.Finally,based on the comparison of model solving and fitness before and after improvement,the effectiveness of the improvement is verified.