舰艇航迹免疫果蝇优化规划算法

Improved Immune Fruit Fly Optimization Algorithm for Vessel Track Planning

为有效解决舰艇航迹规划问题,提出了一种免疫果蝇优化算法。为有效改善传统果蝇优化算法易于局部收敛的缺陷,引入了免疫机制,以提升算法的全局搜索能力和收敛速度。由仿真验证结果可知,所提算法具有良好的寻优性能,能够规划理想的舰艇航迹。

In order to effectively solve the problem of ship trajectory planning, an immune fruit fly optimization algorithm is proposed. In order to effectively improve the defect that the traditional fruit fly optimization algorithm is prone to local convergence, an immune mechanism is introduced to improve the global search ability and convergence speed of the algorithm. The simulation results show that the proposed algorithm has good optimization performance and can plan an ideal ship track.