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Modeling and optimization of formation air-to-ground attack fire distribution based on simulated annealing genetic algorithm

HE Xiao-liang1,2, BI Yi-ming2   

  1. 1. College of Graduate, National Defence University, Beijing 100091, China; 
    2. College of Primary Command, Second Artillery Engineering University, Xi’an 710025, China
  • Online:2014-05-22 Published:2010-01-03

Abstract:

In view of the characteristics of the formation air-to-ground attack fire distribution, the maximization of effectiveness-cost ratio is the goal. Based on the simulated annealing genetic algorithm, the model of formation airtoground attack fire distribution is proposed, which is restricted by the lower damage bound. From two stages, the model achieves utility maximization and cost minimization for formation airtoground attack. genetic algorithm (GA) has excellent search capability macroscopically, while simulated annealing (SA) is good at seeking the best result microcosmically. Through combining their advantages, a new algorithm is constructed and used to the formation air-to-ground attack fire distribution. Simulation results show that this method could gain the best solution rather quickly, and the fire distribution fits the combat requirements well, which verifies that the model is useful and the algorithm is feasible.

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