基于多目标优化遗传算法的武器-目标分配

摘要

Aiming at solving weapon‐target assignment(WTA) problems ,a multi‐objective optimization model is estab‐lished based on maximum optimal damage probability and minimum the firepower number .Application the Pareto non‐domi‐nated set ranking method ,non‐dominated set ranking genetic algorithm(NSGA‐Ⅱ) is presented to solve the multi‐objective optimization WTA problems .The population's fitness is evaluated by the non‐dominated set rank ,the diversity evolution op‐eration is evaluated by genetic algorithm(GA) .The proposed NSGA‐Ⅱ algorithm is simple ,perfect performance and can provide Pareto‐optimal front to support decision .The simulation experiment gives good WTA result which verifies the cor‐rectness and effectiveness of the proposed algorithm .%针对武器‐目标火力分配问题，建立了基于效能最大和用弹量最少的多目标优化模型。基于 Pareto集非劣分层思想对遗传算法进行改进，利用非劣分层遗传算法处理武器‐目标分配多目标优化问题。非劣分层遗传算法通过对种群内的所有个体的多个目标函数进行非劣分层排序来度量个体的适应能力，通过遗传算法实现多样性进化操作，能够获取Pareto最优解集，以供决策者参考。仿真试验表明：该方法能够获得满意的分配结果，方便快捷地解决多平台多类型武器‐目标分配问题。