Multi-Objective Hybrid Mantis Algorithm for UAV Path Planning in Mountainous Terrain Signal Detection

Network coverage in high-altitude mountainous regions remains a persistent challenge, primarily due to complex terrain and severe signal attenuation. To enable effective signal detection in such environments, this paper addresses the critical need for robust path planning for unmanned aerial vehicles (UAVs) under multiple operational constraints. In this paper, we propose a Multi-objective Hybrid Mantis Search Algorithm (MHMSA) that optimizes UAV trajectories by integrating a comprehensive cost