关键词: 威胁评估, 超视距, 目标分配, 混合蛙跳算法, 蚁群算法

Abstract: Based on the problem of target assignment in BVR（Beyond Visual Range） air combat, a Shuffled Frog Leaping Algorithm（SFLA） and Ant Colony Algorithm（ACA） fusion is presented. A model of decision-making in BVR is built up by taking target threat evaluation as the criterion. According to the characteristic of BVR, a special coding process for frog is presented. An improved SFLA based on mutation idea in Differential Evolution（DE） is proposed, and the aberrance operator for ACA is embedded to reduce the search time. Since shuffled frog leaping algorithm has the capability of taking a global searching rapidly and ant colony algorithm has the positive feedback feature, the fusion algorithms use the SFLA to build optimized group at its initial stage, and then use ACA to search the exact answer at the later stage. With Matlab, simulations are implemented. The simu-
lation results show that this method can give a reasonable target allocation plan effectively.

Key words: threat assessment, Beyond Visual Range（BVR）, target assignment, Shuffled Frog Leaping Algorithm（SFLA）, Ant Colony Algorithm（ACA）