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- Title
基于改进混沌蜂群算法的无人战斗机路径规划.
- Authors
伍鹏飞; 李涛; 曹广旭; 宋公飞
- Abstract
Aiming at the path planning problem of unmanned combat air vehicle (UCAV) on the battlefield with threat, an improved artificial bee colony (ABC) algorithm was proposed based on the chaos of Zaslavskii. Based on the fast convergence speed of standard bee colony algorithm, ergodicity, randomness and sensitivity to initial value of chaotic motion, the algorithm utilized Zaslavskii chaotic mapping formula to generate chaotic sequence, and improved the honey source selection and search strategy of bee colony algorithm. And the improved artificial bee colony algorithm was applied to solve the problem of path planning of UCAV, which gradually got rid of the local optimal path and found the global optimal path in the complex and changeable battlefield environment. The simulation results show that the improved algorithm could effectively accelerate the convergence speed and improve the optimal trajectory.
- Subjects
BEES algorithm; ARMORED military vehicles; PROBLEM solving; HONEY; APPLICATION software
- Publication
China Sciencepaper, 2021, Vol 16, Issue 3, p301
- ISSN
2095-2783
- Publication type
Article