The model of anti-TBM target allocation optimization based on fuzzy random programming

FAN Cheng-li, XING Qing-hua, ZHENG Ming-fa, WANG Yi-fei

Systems Engineering - Theory & Practice ›› 2015, Vol. 35 ›› Issue (9) : 2401-2409.

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Systems Engineering - Theory & Practice ›› 2015, Vol. 35 ›› Issue (9) : 2401-2409. DOI: 10.12011/1000-6788(2015)9-2401

The model of anti-TBM target allocation optimization based on fuzzy random programming

  • FAN Cheng-li1, XING Qing-hua1, ZHENG Ming-fa2, WANG Yi-fei1
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Abstract

For much uncertainty characteristic, the theory of fuzzy random programming is introduced into anti-tactical ballistic missile (TBM) target allocation optimization problem. Firstly, The model of anti-TBM target allocation optimization based on fuzzy random programming is constructed. Furthermore, the improved discrete particle swarm optimization (IDPSO) algorithm is proposed on the basis of the effective particle decoding scheme. Then, the hybrid intelligent algorithm is designed to solve the model, which integrates the technique of fuzzy random simulation and IDPSO algorithm. Finally, experimental results demonstrate the feasibility of hybrid intelligent algorithm for solving the proposed model.

Key words

target allocation / fuzzy random programming / fuzzy random simulation / discrete particle swarm optimization

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FAN Cheng-li , XING Qing-hua , ZHENG Ming-fa , WANG Yi-fei. The model of anti-TBM target allocation optimization based on fuzzy random programming. Systems Engineering - Theory & Practice, 2015, 35(9): 2401-2409 https://doi.org/10.12011/1000-6788(2015)9-2401

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