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《Journal of Naval University of Engineering》 2013-01
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Improved multi-objective particle swarm optimum algorithm for coordinating antimissile weapon-target assignment of ships in formation

LIU Xiao1,LIU Zhong1,SUN Kun2,XU Jiang-hu1(1.College of Electronic Engineering,Naval Univ.of Engineering,Wuhan 430033,China; 2.Unit No.91999,Qingdao 266000,China)  
To increase the cooperative anti-missile capability of calculating the multi-object weapon target assignment(WTA),an improved algorithm for multi-objective particle swarm optimization(MOPSO) was proposed based on the multi-objective WTA model so as to establish a multi-objective mathematic model.The problems of MOPSO used in the WTA were solved,such as linear inequality constraints and swarm blind search.The calculation process was defined.Simulation experiments show that the improved MOPSO algorithm for WTA multi-object programming model obtains the non-inferior solutions to the Pareto front;the maximum value of the non-inferior solutions in adaptability which varies with the iteration number evolution is stable in convergence.The results show that the improved MOPSO is effective.
【Fund】: 中国博士后科学基金资助项目(20090461460)
【CateGory Index】: E91
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【Citations】
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