针对现代高精度测量工作中传统的群体智能算法存在的不足,该文提出将猫群算法应用于非线性模型参数估计,从观察模式和捕猎模式两个方面论述了猫群优化算法的基本原理、解算步骤等;最后通过实例分析验证了猫群优化算法在非线性模型参数估计中应用的可行性和优势。 Aiming at the shortcomings of the traditional swarm intelligence algorithm in modern high-precision surveying work, this paper proposes to apply the cat population algorithm to the nonlinear model parameter estimation, discusses the basic theory of the cat population optimization algorithm from the observation mode and the hunting mode, Finally, an example is given to verify the feasibility and advantage of the Cat Swarm Optimization algorithm in nonlinear model parameter estimation.