关键词: 最小风险通道, 安全返航, 改进豺优化算法, 多约束优化, 战斗空中巡逻线

Abstract:

Aiming at the safe return demand of fighter performing air combat missions, the minimum-risk route planning method based on the improved dhole optimization algorithm under multi-constraint conditions is proposed. Firstly, combined with the actual demand for safe return, multi-dimensional constraints are constructed, including terrain, fuel consumption, friend-or-foe identification, flight time, route feasibility, and boundary line tactics. Then, an aggregated fitness function is built based on the minimum fuel consumption and optimal support objectives. Finally, Logistic map-based chaotic initialization, sine-cosine function update strategy, and Gaussian-cauchy mutation are integrated to improve the dhole optimization algorithm for solving the aforementioned problems. Simulation results show that the proposed method can effectively plan optimal routes. Compared with existing methods, the proposed method exhibits superior performance and is more in line with actual combat application scenarios. This planning method conforms to practical air combat requirements and can provide technical support for low-altitude safe return air route planning of fighters and refined allocation of battlefield airspace resources.

Key words: minimum-risk route, safe return, improved dhole optimization algorithm, multi-constraint optimization, combat air patrol line