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Model and solving method for adaptive evolution of command and control relationship in C4ISR system

ZHANG Jie-yong1,2, LAN Yu-shi1, YI Kan1, MAO Shao-jie1, WANG Heng1   

  1. 1. Science and Technology on Information Systems Engineering Laboratory, The 28th Research
    Institute of China Electronics Technology Group Corporation, Nanjing 210007, China; 2. College of
    Information and Navigation, Air Force Engineering University, Xi’an 710077, China
  • Online:2015-06-20 Published:2010-01-03

Abstract:

The adaptive evolution of command and control (C2) relationship in C4ISR system structure is studied. The model of the C2 relationship is established, the process of the C2 relationship adaptive evolution is analyzed and depicted, the cost of structure change and the cost of performance are designed, and the mathematic model with the value of sum of evolution cost minimization as the objective function is built for the problem of the C2 relationship adaptive evolution. Then the method based on the n-Best strategy hierarchical clustering algorithm and genetic algorithm (GA) to solve this model is designed. The hierarchical clustering algorithm based on n-Best strategy is used for getting the feasible C2 relationship in each task window, and the GA is used for searching the best path of evolution. Finally, the applicability and stability of this solving algorithm are illustrated by a case of joint operational plan.

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