Research on optimization method for accelerated life test of CQ2-series cylinder

Based on optimization model of CQ2-series cylinder, an improved genetic algorithm was designed, in which the points of crossover and mutation in the algorithm vary with the population diversity function, and during later period of optimization, Powell method was employed for acceleration. The optimization results of the complex function with high dimensions show that the the problem of premature convergence is solved effectively and the optimal value was approached rapidly in later optimization, to get global optimum. Accelerated life test of CQ2-series cylinders was conducted based on the optimization scheme. The tested results verify that the scheme can shorten the period and reduce the cost effectively under the premise of without influence on the parameter estimation precision.