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Multi UCAVs Coordinated Attack Target Assignment using an improved PSO algorithm

Xiaojun Xing, Jianguo Yan, Dongli Yuan

Abstract


Multi unmanned combat aerial vehicle (UCAV) cooperative task assignment ,which plays a very important role in improving the efficiency UCAV gross operational utility, is a complex multiple objective optimization problem. In order to get the Pareto optimal solution, a novel method for solving the UCAVs' cooperative task assignment problem was proposed using an improved particle swarm optimization(PSO) algorithm with parallelism, high resolution and high efficiency . The improved PSO splits the whole particle swarm into several sub-swarms of which each sub-swarm evolves respectively in the first stage, afterwards each sub-swarm was emerged into one swarm and evolves in the second stage. Simulation results show that the algorithm improved the capability got better and more precise UCAVs cooperative attack
path than the basic PSO algorithm .

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References


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DOI: http://dx.doi.org/10.21535%2FProICIUS.2014.v10.288

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