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Air Combat DecisionMaking for Multifighter Coordinated Attack Based on Probability Collectives
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LIU Bo,CHEN Shaodong,HE Jianliang
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(Science and Technology on Electrooptic Control Laboratory, Luoyang Institute of ElectroOptical Equipment of AVIC, Luoyang 471000, Henan， China)
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Abstract A new algorithm based on probability collectives was proposed to solve the decisionmaking of multifighter to coordinated attack multitarget without centric control. Firstly, the coordinated distributed decision making model is proposed based on missile which is defined as an agent. To solve an optimization problem in which there is subspace full of local optimal value near the global optimum in the solution space, the new algorithm turns it into a convex problem in a space of probability distributions based on probability collectives. Secondly, the probability collectives framework is extended by agent contribution rate to realize accurate convergence. The simulation results show that as compared with conventional methods, the proposed method is able to converge to the global optimum with more stability, scalability and faster convergence rate.
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Received: 27 August 2010
Published: 28 February 2011
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