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Research of service selection algorithm for net-centric simulation task community

International Journal of Modeling, simulation, and Scientific Computing 2014年第3期5卷 61-87页

作者： Liyang Sun Jianning Lin Zhenqi Ju Shaojie Mao Zhong Liu Di Lu School of Electronic and Optical Engineering Nanjing University of Science and Technology NJUST NanjingP.R.China Science and Technology on Information system Engineering Laboratory CETC 28th Nanjing P.R.China College of Design North Carolina State University Carolina US

Being a new-generation C4ISR system simulation method,the construction approach of net-centric simulation(NCS)is developing toward net-centric from the traditional approach of *** is mainly completed by the construction of the simulation task community(STC),the key to which being the dynamic integration of the various services spread in the network in order to form a new STC that meets the requirements of different *** this study,a simulation task community service selection algorithm(STCSSA)is *** main idea of this algorithm is to transform the construction of STC to the searching of optimal multi-objectives services with QoS global *** paper first introduces the QoS model of STC and evaluates the service composition process,then presents the detailed operating process of STCSSA and design of the dynamic inertia weight strategy of the algorithm,and also proposes an optional variation *** tests were performed on STCSSA with other particle swarm optimization *** was validated from the perspective of performance that the proposed algorithm has advantages in improving the rate of convergence and avoiding local optimum,and from the perspective of practical application STCSSA also demonstrated feasibility in the construction of large-scale NCS task community.

关键词： net-centric simulation simulation task community service selection particle swarm optimization dynamic inertia weight optional variation

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