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Application of Hybrid ACA to Solve Weapon-target Assignment Problem

机译:混合ACA在解决武器目标分配问题中的应用

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摘要

Weapon-target assignment problem (WTA) was described and its mathematic model was established. Ant colony algorithm (ACA) was introduced briefly, aiming at its defects, the strategy to select the next node was improved. Crossover and mutation in GAs were introduced into ACA, and the search space was opened up. A novel and equivalence method was proposed for WTA, and the steps to realize the algorithm were described in details. The simulation in MATLAB program verified the validity, efficiency and simplicity to operate.
机译:描述了武器目标分配问题(WTA),并建立了其数学模型。简要介绍了蚁群算法(ACA),针对其缺陷,改善了选择下一个节点的策略。将气体交叉和突变引入ACA,并打开搜索空间。为WTA提出了一种新颖和等价方法,详细描述了实现算法的步骤。 MATLAB计划的仿真验证了运行的有效性,效率和简单性。

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