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作 者:Zheng Tang Xiaoguang Gao Chao Sun
机构地区:[1]School of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, R R. China [2]School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710129, P. R. China
出 处:《Journal of Systems Engineering and Electronics》2010年第3期449-454,共6页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China (10377014);the Innovation Foundation of Northwestern Polytechnical university (2007KJ01027)
摘 要:The coordinated Bayesian optimization algorithm(CBOA) is proposed according to the characteristics of the function independence,conformity and supplementary between the electronic countermeasure(ECM) and the firepower attack systems.The selection criteria are combinations of probabilities of individual fitness and coordinated degree and can select choiceness individual to construct Bayesian network that manifest population evolution by producing the new chromosome.Thus the CBOA cannot only guarantee the effective pattern coordinated decision-making mechanism between the populations,but also maintain the population multiplicity,and enhance the algorithm performance.The simulation result confirms the algorithm validity.The coordinated Bayesian optimization algorithm(CBOA) is proposed according to the characteristics of the function independence,conformity and supplementary between the electronic countermeasure(ECM) and the firepower attack systems.The selection criteria are combinations of probabilities of individual fitness and coordinated degree and can select choiceness individual to construct Bayesian network that manifest population evolution by producing the new chromosome.Thus the CBOA cannot only guarantee the effective pattern coordinated decision-making mechanism between the populations,but also maintain the population multiplicity,and enhance the algorithm performance.The simulation result confirms the algorithm validity.
关 键 词:electronic countermeasure firepower attack coordinated Bayesian optimization algorithm(CBOA).
分 类 号:TP393[自动化与计算机技术—计算机应用技术] TN97[自动化与计算机技术—计算机科学与技术]
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