Electronics Optics & Control, Volume. 24, Issue 3, 36(2017)
Particle Swarm Optimization Based Weapon-Target Assignment for Attacking Ground Targets
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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Received: Mar. 21, 2016
Accepted: --
Published Online: Apr. 10, 2017
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