Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (5): 1050-1056.doi: 10.3969/j.issn.1001-506X.2018.05.14

Previous Articles     Next Articles

Target assignment optimization of multiple on-orbit weapon platforms with multiple warheads

LIU Qingguo1, LIU Xinxue1, XIA Wei1, GUO Huijun2   

  1. 1. Primary Command College, Rocket Force University of Engineering, Xi’an 710025, China;  2. Unit 31102 of the PLA, Nanjing 210018, China
  • Online:2018-04-28 Published:2018-04-24

PDF (PC)

Abstract:

A discrete particle swarm optimization-taboo search (DPSO-TS) algorithm local operation is proposed to reduce calculation amount of target assignment optimization of multiple on-orbit weapon platforms with multiple warheads. Firstly, the interception trajectory optimization model of single on-orbit weapon platform with multiple worheads is established by the genetic algorithm, which is used to determine the velocity increment and mass of consumption fuel. Secondly, the number of targets which can be attacked and the remaining fuel of a single weapon platform with multiple warheads are taken as indexes, and a target assignment optimization model is established by the DPSO-TS algorithm. Finally, the results of simulation show that in the premise that the DPSO-TS algorithm and the DPSO algorithm have the same accuracy, the DPSO-TS algorithm has faster convergence speed and can fast and effectively solve the targets assignment optimization problem of multiple on-orbit weapon platforms with multiple warheads.

[an error occurred while processing this directive]