Targets Assignment for Cooperative Multi-UAVs Based on Chaos Optimization Algorithm

Wei Ou, Feng-xing Zou, Xiaohong Xu, Gao Zheng
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引用次数: 3

Abstract

Targets assignment is one of crucial problem for multi-UAVs cooperative campaign. By taking furthest campaign benefit and survival probability of UAVs as objective function, the mathematics model of targets assignment is formulated in this paper, and an approach solving targets assignment problem based on chaos optimization is proposed, whereas a new encoding method is introduced, chaos search queues is mapped to solution space of targets assignment problem effectively by defining exchange, shift and insertion operators, and an correcting method is applied to keep the validity of solutions. Finally, the efficiency of the proposed algorithm is demonstrated by computer simulations.
基于混沌优化算法的协同多无人机目标分配
目标分配是多无人机协同作战的关键问题之一。以无人机最远战役效益和生存概率为目标函数,建立了目标分配的数学模型,提出了一种基于混沌优化的目标分配问题求解方法,引入了一种新的编码方法,通过定义交换、移位和插入算子,将混沌搜索队列有效地映射到目标分配问题的解空间中。并采用一种校正方法来保证解的有效性。最后,通过计算机仿真验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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