基于改进鱼形搜索算法的机弹协同航路规划

Tao Sun, Xiaofang Xie, Yong-qin Sun, Song-yang Li
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引用次数: 2

摘要

针对一类机弹协同的航路规划问题,提出了一种改进的鱼形搜索算法。介绍了该类合作的数学描述。综合考虑协同的可视性、威胁、最大距离和相对方位等关键因素,构建了约束条件和评价指标。根据该问题的特点,采用Fish-Search算法求解该问题,并通过引入ta-boo公告板和生存机制对其进行改进。通过原算法和改进算法的仿真结果对比,可以看出,改进算法的收敛速度得到了提高。
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Airplane Route Planning for Plane-Missile Cooperation Using Improved Fish-Search Algorithm
An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According to the characteristics of the problem, the Fish-Search algorithm was used to solve the problem, and was improved by introducing a ta-boo bulletin board and the survival mechanism. As is shown in the comparison of the simulation results of the original and the improved algorithm, the convergence rate was improved.
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