Electronics Optics & Control, Volume. 24, Issue 3, 36(2017)

Particle Swarm Optimization Based Weapon-Target Assignment for Attacking Ground Targets

WANG Shun-hong1... YANG Qi-song1, WANG Ran-hui2, ZHAO Jiu-fen1 and WANG Guo-jiang2 |Show fewer author(s)
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    Weapon-Target Assignment for attacking ground targets (BTG-WTA) is an important issue in modern warfare,which has larger scale and is more complicated than the ordinary weapon-target assignment.Particle Swarm Optimization (PSO) algorithm is used for solution of the BTG-WTA.The key issues,such as particle initialization and inertia weight selection,are improved for adaptable to BTG-WTA model,and simulation is made to an example.The results of simulated experiment indicate that PSO is more efficient than the classical algorithm for BTG-WTA,and thus has great application value.

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    WANG Shun-hong, YANG Qi-song, WANG Ran-hui, ZHAO Jiu-fen, WANG Guo-jiang. Particle Swarm Optimization Based Weapon-Target Assignment for Attacking Ground Targets[J]. Electronics Optics & Control, 2017, 24(3): 36

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    Paper Information

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    Received: Mar. 21, 2016

    Accepted: --

    Published Online: Apr. 10, 2017

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2017.03.009

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