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Author Yiren Chen ♦ Haibin Duan
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations
Subject Keyword Convergence ♦ Gravity ♦ Educational institutions ♦ Weapons ♦ Chaos ♦ Optimization ♦ Acceleration
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.
Description Author affiliation: Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China (Yiren Chen; Haibin Duan)
ISBN 9781479928378
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-06-18
Publisher Place Taiwan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 307.31 kB
Page Count 6
Starting Page 540
Ending Page 545


Source: IEEE Xplore Digital Library