Title :
Multiple UCAVs mission assignment based on modified Gravitational Search
Author :
Yiren Chen ; Haibin Duan
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
With further developments of Uninhabited Combat Aerial Vehicles (UCAVs), the problem of multiple UCAVs mission assignment is a hot point, and many solutions aimed at multiple UCAVs mission assignment are proposed in the past years. However, it´s still difficult to satisfy the actual need of complicated battlefield owing to the larger scale of problems and the limit of operation speed. In this paper, we proposed a novel solution for UCAVs mission assignment based on a modified Gravitational Search Algorithm (GSA). The basic GSA is modified by improving the initialization, the mass weighing value and natural selection rules are also adopted. Comparative experimental results verified that the three parts of the GSA can be improved: algorithmic reconnaissance ability, speed and optimization of finding the solution. The results show that our proposed GSA can solve the multiple UCAVs mission assignment effectively.
Keywords :
autonomous aerial vehicles; military vehicles; multi-robot systems; search problems; GSA; mass weighing value; modified gravitational search algorithm; multiple UCAV mission assignment; natural selection rules; uninhabited combat aerial vehicles; Acceleration; Chaos; Convergence; Educational institutions; Gravity; Optimization; Weapons;
Conference_Titel :
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location :
Taichung
DOI :
10.1109/ICCA.2014.6870977