Adaptive micro-genetic algorithm and its application in JC constitutive parameters inverse

Adaptive micro-genetic algorithm was developed to make the crossover probability and mutation probability adjust to the current individual fitness in the population.The algorithm was tested.Then using this method and the finite element method to reverse the parameters of the Johnson-Cook model for the high-conductivity oxygen-free copper material was analyzed.It is manifested the self-adaptive micro-genetic algorithm improves the algorithm searching speed and convergence performance effectively,obtains the parameters rapidly.