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Application of Chance Constrained Programming in Optimal Distribution of Ground-to-Air Radar Jamming Resource
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TN972.1

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    Abstract:

    Using fuzzy chance constrained programming, the paper does some research on the problem of optimal distribution of ground-to-air radar jamming resource under air-defense background. Firstly, based on the model of radar menace grade assessment, using jamming oppressive area, the model of radar jamming effect evaluation is built. Secondly, considering uncertain factors existent in the process of distribution, the bilevel fuzzy chance constrained mixed integer programming for jamming resource optimization assignment is presented. Finally, the bilevel mixed integer programming is obtained by the theory of possibility estimation. Then the optimal solution can be obtained by using the algorithm of mixed integer linear programming. The example indicates that the application of the optimal distribution model can not only deal with uncertain information but also achieve overall optimization when all comes to all. The algorithm of the model is of more pertinence.

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  • Received:
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  • Online: November 17,2015
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