Threat-Oriented Collaborative Path Planning of Unmanned Reconnaissance Mission for the Target Group

Unmanned aerial vehicle (UAV) cluster combat is a typical example of an intelligent application, and it characterized by its large scale, low cost, retrievability, intra-cluster autonomous coordination. An unmanned reconnaissance mission for target group (URMFTG) significant pattern in UAV combat. This paper discusses the collaborative path planning problem formations (UAVFs) refueling tankers URMFTG with threat areas fuel constraints. The purpose to ensure that UAVFs (with constraints) can complete assistance tankers, which one most important constraints planning. In this paper, path-planning model designed analyze relationship between avoidance strategy considering area. proposes two-stage solution algorithm. It creates algorithm based on fast search genetic (FSGA) tanker improved non-dominated sorting II (NSGA-II). Based simulation experiments, method proposed provide better scheme URMFTG. That is, decreases rate UAVF’s distance growth from 3.1% 2.2% provides Pareto set tankers.