导弹对面积目标射击效能的智能优化算法

Intelligence Optimization Algorithm for Attacking Efficiency of Missile Attacking Surface Target

针对导弹对面积目标射击效能优化问题的特点,通过构造典型射击情形下导弹毁伤效能的目标函数表达式,建立了导弹对面积目标射击效能多目标优化模型。设计了一种采用实数编码的求解该模型的多目标遗传优化算法,通过仿真实例验证了算法的有效性,结果表明,利用该算法得到的瞄准点分布合理,研究结果有助于合理选择导弹对面积目标射击的瞄准点,提高导弹毁伤效能。

Aiming at the efficiency optimization for missile attacking surface target,the obj ective function of damage efficiency of missile under classical attacking conditions was constructed,and the multiple-obj ective optimization model of missile attacking surface target was built.The multiple-obj ective genetic optimization algorithm using real-coded schema was designed to solve the model.The efficiency of the algorithm was verified by simulation.The result shows that the distribution of aiming points obtained by the algorithm is reasonable.The result of the research helps to select aiming points of missile attacking surface target,and the damage efficiency of missile improves.