基于改进遗传算法的多弹型混合火力分配优化模型

An Optimal Model of Multi Missile Hybrid Firepower Distribution Based on Improved Genetic Algorithm

针对多弹型混合火力分配问题的特点,对其决策变量、目标函数、约束条件进行了研究。基于遗传算法的一般流程,设计了染色体编码规则、初始种群与适应度函数的计算方法、染色体交叉和变异方法,建立了多弹型混合火力分配优化计算模型。仿真结果表明,该模型在计算可靠性、计算效率以及解集的丰富性等方面都有较好的结果,能够为多弹型混合火力打击作战运用提供一种火力分配优化方法。

In view of the characteristics of multi bomb type hybrid fire assignment problem,the decision variables,objective function and constraint conditions are studied. The general process based on genetic algorithm,the design rule of chromosome encoding,initial population and adaptive calculation method,function of degree of chromosome crossover and mutation method,established the multi missile hybrid firepower allocation model. The simulation results show that the model has satisfactory results in terms of computational reliability,computational efficiency and the richness of solution sets. It can provide a method of firepower allocation optimization for the multi-projectile mixed-fire combat operations.