Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (10): 2249-2255.doi: 10.3969/j.issn.1001-506X.2018.10.14

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Optimization model of air defense disposition based on dynamic programming and genetic algorithm#br#

YAN Peiyuan, LIU Shu, WANG Jun   

  1. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
  • Online:2018-09-25 Published:2018-10-10

Abstract: With the development and application of high-tech weapons, the battlefield environment becomes more and more complex. Deploying the air defense correctly and effectively becomes a difficult problem in air defense operations. In this paper, it is analyzed from the point of the attacker about the main factors which affect the air defense disposition, then the dynamic programming algorithm is proposed to solve the minimum dangerous attack route, besides, it is integrated into the fitness function of the genetic algorithm. Consequently, an optimization model of air defense deployment based on dynamic programming and the genetic algorithm is obtained. This model can optimize the air defense deployment and can obtain the best deployment plan based on the attacker. The experimental results show that the model is effective and feasible and provides reference for commanders about deploying in air defense operation.

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