TY - JOUR
T1 - SA-DPSO-based Weapon-target Assignment for Cooperative Air Defense with Anti-aircraft Gun-Missile Weapons
AU - Wang, Yue
AU - Zhou, De Yun
AU - Yao, Tong
AU - Bai, Hao
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/8/9
Y1 - 2019/8/9
N2 - For the weapon-target assignment problem of anti-aircraft gun-missile weapon formation air defense, a weapon-target assignment model was developed for anti-aircraft gun-missile weapon formation according to the different fire characteristics of anti-aircraft missile and anti-aircraft gun system. The model gave sufficient consideration to the damage zone of anti-aircraft gun and missile as well as the weapon-target join point, and the assignment result allows anti-aircraft gun-missile weapons to fire missiles and anti-aircraft guns at the right moment. On this basis, the method of Simulated Annealing-Discrete Particle Swarm Optimization (SA-DPSO) was proposed to solve the weapon-target assignment for formation anti-aircraft. The simulation result showed good rate of convergence and global searching ability of the algorithm.
AB - For the weapon-target assignment problem of anti-aircraft gun-missile weapon formation air defense, a weapon-target assignment model was developed for anti-aircraft gun-missile weapon formation according to the different fire characteristics of anti-aircraft missile and anti-aircraft gun system. The model gave sufficient consideration to the damage zone of anti-aircraft gun and missile as well as the weapon-target join point, and the assignment result allows anti-aircraft gun-missile weapons to fire missiles and anti-aircraft guns at the right moment. On this basis, the method of Simulated Annealing-Discrete Particle Swarm Optimization (SA-DPSO) was proposed to solve the weapon-target assignment for formation anti-aircraft. The simulation result showed good rate of convergence and global searching ability of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85071847248&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/569/3/032014
DO - 10.1088/1757-899X/569/3/032014
M3 - 会议文章
AN - SCOPUS:85071847248
SN - 1757-8981
VL - 569
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 3
M1 - 032014
T2 - 2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation, AMIMA 2019
Y2 - 17 May 2019 through 19 May 2019
ER -