基于粒子群优化理论的可靠性分布模型的极大似然参数估计法

Maximum likelihood method for parameter estimation of reliability distribution model based on particle swarm optimization theory

针对有些复杂分布模型采用常规极大似然法很难直接进行参数估计,将粒子群优化理论引入极大似然法,提出了基于粒子群优化算法的新的参数估计方法,并通过实例模拟论证了该方法的可行性与有效性。

It is difficult to perform parameter estimation directly for some complicated models using conventional maximum likelihood method.Particle swarm optimization(PSO) theory was introduced into the maximum likelihood method,and a new parameter estimation method based on PSO algorithm was proposed.This method was proved to be feasible and effective through simulation example.