Modelling and realisation of multi-sensors mission planning problem based on fuzzy chance-constrained bi-level programming in anti-TBM combat
by Peng Ni; Gang Wang; Jin-Mang Liu; Cheng-Li Fan
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 9, No. 2, 2015

Abstract: The Multi-Sensors Mission Planning (MSMP) optimisation model based on Fuzzy Chance-Constrained Bi-Level Programming (FCCBLP) is presented on the basis of analysing the deficiency of the existing MSMP model in anti-TBM combat. Firstly, employing the mission reliability and detecting advantage as the upper and the lower objective function of the model based on taking the model constraints in complex battlefield environment into consideration, respectively. Secondly, particle coding scheme with hierarchical structure for multi-constrained bi-level MSMP problem is constructed. On this basis, an Improved Fuzzy Particle Swarm Optimisation (IFPSO) algorithm is proposed with fuzzy simulation technique and cloud self-adaptive mutation operator. Finally, the simulation results show that the proposed algorithm has a strong global searching ability and fast convergence speed which meet the high requirements about the timeliness of the large-scale MSMP problem.

Online publication date: Mon, 19-Oct-2015

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