The aerial Guidance-Attack Matching ( GAM ) focuses on the allocating of weapon units,guidance units and targets in order to maximize the effectiveness of the multiple combat agents'task coalition.The guidance-attack matching process of multiple combat agents based on integrated communication mode was analyzed,a constrained optimization model was proposed for the problem and the nested genetic algorithm based on tabu policy was designed to solve the model .The outer-loop of GA was used to search for the optimum weapon-guidance matching and the inner-loop of GA used to search for the optimum weapon-target allocation .Considering the discrete characteristics of the problem,the coding rules,crossover operators,mutation operators and tabu policy were designed .The experimental results show that the proposed algorithm can solve the three-dimensional variable GAM problem effectively .%空中制导-攻击匹配（ GAM）旨在确定武器单元、制导单元以及目标三者之间的最优匹配关系，以使多作战智能体任务联盟整体作战效能最大。分析了基于混合通信方式的多作战智能体制导-攻击匹配过程，建立制导攻击匹配约束优化问题模型，设计了一种禁忌策略的嵌套遗传算法（ TS-NGA）对模型进行求解，算法的外层循环寻求武器单元和制导单元的最优配对，内层循环寻求武器单元和目标的最优配对。针对GAM问题特点，制定了编码与解码策略、交叉、变异规则以及选择、禁忌策略。仿真实验结果表明所设计求解算法能较好地解决三维变量的 GAM问题模型。
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