基于自适应遗传算法的导弹火力优化分配

Optimization of Missile Allocation Based on Adaptive Genetic Algorithm

建立了导弹火力优化分配的非线性整数规划模型,并给出了模型的自适应遗传算法求解,改进的遗传操作算子较好地处理了模型的整数约束条件,直观明了,简单易行.实例在计算机上的对比仿真运行结果表明,随群体适应度自动调整的交叉概率和变异概率,加快了算法的收敛速度,显著地提高了算法的探索能力,不易陷入局部最优解.这种方法对导弹火力的优化分配有一定的参考价值.

A nonlinear integer programming model of optimized missile allocation is presented. The resolution procedure of model with adaptive genetic algorithm is also presented. The integer code and new genetic operator are designed so that the genetic operation can easily deal with integer restrains. The computer simulation shows that the crossing probability and mutating probability adjusted by population fitness can vastly improve the speed of convergence and the ability of searching best individual compared with traditional GA. The method can be served as a reference for missile allocation.