3D Aircraft Path Planning for Hostage Rescue by Artificial Immunity Algorithm

Abstract

The goal of aviation route planning for hostage rescue is to quickly design a safe and concealed path for aircraft hijacking under complex and unfamiliar circumstance. In this article, basic Artificial Immunity Algorithm (AIA) is improved by consideration of helicopter flyability and time restriction. And a threat model has been proposed through an appropriate simplification operation in in-time environment. Threat models are varied with different complicate environments designed. AIA can successfully plan safe paths by the models, which verify the method’s validity. Under more complex environment, the method can calculate a new path by performing the operation of local flight segment adjustment or re-planning the whole flight path. When the threat models being in dynamically updating state, AIA should be run with negotiation between safe degree and time remained, which allows it to play an active rather a passive role. This would help to enhance the ability of response ability to emergent incidents integrated plan time, aircraft safety, flyability and manoeuvrability in rescue.