Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (3): 563-570.doi: 10.3969/j.issn.1001-506X.2018.03.12

Previous Articles     Next Articles

WTA for air and missile defense based on fuzzy multi-objective programming

XU Hao, XING Qinghua, WANG Wei   

  1. School of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, China
  • Online:2018-02-26 Published:2018-02-24

PDF (PC)

Abstract:

Given that the multi-objective optimization based weapon target assignment (WTA) methods have difficulty in resolving WTA problems in air and missile defense operation under uncertainty, a WTA method for air and missile defense based on fuzzy multi-objective programming is proposed. Firstly, the uncertain target threat is measured with application of triangular fuzzy number, and the air and missile defense WTA model is constructed based on fuzzy multi-objective programming with consideration of air and missile defense combat’s characteristics. Secondly, the objective function with fuzzy parameters is turnned into a certain objective function based on necessity degree principle of uncertain theory. Thirdly, A multi-objective quantum-behaved particle swarm optimization with the double/single-well (MOQPSO-D/S) algorithm is proposed to solve the WTA model, where the particle location update method with double/single well, the hybrid random mutation method and a two-stage guider particles selection method are applied. Finally, the model constructed in this paper is proved to be reasonable, and the MOQPSO-D/S algorithm is proved to be efficient through example simulation.

[an error occurred while processing this directive]