基于改进BBO算法的火力分配方案优化

Optimization of Firepower Allocation Based on Improved BBO Algorithm

将生物地理学优化(Biogeography-based optimization,BBO)算法应用于火力打击目标分配方案的优化中,对BBO算法增加三维变异操作,优化算法的收敛精度。采用改进的Tdv-BBO算法(Three-dimensional variation biogeography-based optimization,Tdv-BBO)来解决火力打击中的目标分配问题,对敌方想定实例进行了目标-火力数量组合优化。算例验证结果表明:改进的BBO算法增强了全局搜索能力,可为海上联合打击的目标分配提供一种有效的方法。

The biogeography-based optimization(BBO) algorithm is applied to the optimization of the firepower strike target allocation,and combined with a three-dimensional mutation operation to optimize the convergence accuracy of the algorithm. The improved three-dimensional variation biogeography-based optimization(Tdv-BBO)algorithm is used to solve the problem of target allocation in fire strike,and the target-fire quantity combination optimization is performed on the enemy scenario. The verification results of numerical examples show that the improved BBO algorithm enhances the global search capability,and can provide an effective method for the target assignment of joint maritime strikes.