Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (11): 2459-.doi: 10.3969/j.issn.1001-506X.2018.11.11

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Battlefield resource dynamic scheduling model and algorithm based on improved self-adaptive genetic algorithm

SUN Peng1,3, WU Junsheng2, LIAO Mengchen4, ZHANG Jieyong3   

  1. 1. College of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China;
    2. College of Software Microelectronics, Northwestern Polytechnical University, Xi’an 710072, China;
    3. College of Information and Navigation, Air Force Engineering University, Xi’an 710077, China;
    4. Unit 95445 of the PLA, Dali 672100, China
  • Online:2018-10-25 Published:2018-11-14

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Abstract:

The problem of platform resource dynamic scheduling is researched. Firstly, the constraints for this problem are analyzed, then the mathematic model with the value of mission implementation time minimization objective for this problem is built. Then the improved self-adaptive genetic algorithm to solve this model is designed. Finally, the experiment analysis shows that this method can deal with emergency such as new task appearance and platform invalidation effectively, and also has a good time performance.

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