Application of Improved Differential Evolution Multi-objective Optimization Algorithm in Shooting Range

An improved solving strategy named differential evolution(DE) algorithm is presented to solve these problems existed in the optimization design of measuring and controlling project in the shooting range,which include nonlinear functions,weak capability of global search and complex constraint condition.On analyzing the theory of DE,changing the choice of DE key parameters such as mutation factor F and crossover factor CR,and changing the convergence method of constraint condition,the optimize performance of the DE is improved The experiment is simulated and used to demonstrate the high-efficiency,fast convergence and strong global searching ability.