One method solving parameter estimation of varying stress accelerated life test

The maximum likelihood function of varying stress accelerated life is a nonlinear multi-dimensional complex object function with five evaluated parameters, whose parameter estimation is easy to get into local optimization with grads descending algorithm and has low searching efficiency with global optimal algorithm. To solve the bottleneck between direct and intellective optimization of multi-dimensional complex object function, the genetic accelerated algorithm was presented based on real code genetic algorithm and Powell method. Through designing perfect switch with adaptive function, the genetic accelerated algorithm takes the advantages both genetic algorithm and Powell method at furthest that ensure global optimization and keep rapid searching velocity to multi-dimensional complex object function. Application of hydraulic pump on accelerated life test shows that the genetic accelerated algorithm was able to fulfill global optimization at the beginning of parameter evaluation process and approach optimal values rapidly at the end of the process, its success rate of optimization can reach 85%.