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膜量子蜂群优化的多目标频谱分配

高洪元 李晨琬

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膜量子蜂群优化的多目标频谱分配

高洪元, 李晨琬

Membrane-inspired quantum bee colony algorithm for multiobjective spectrum allocation

Gao Hong-Yuan, Li Chen-Wan
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  • 为了解决认知无线电系统中最大和网络效益和用户间公平性联合最优化的多目标频谱分配难题,基于量子蜂群理论和膜计算,提出了一种新的离散多目标组合优化算法–-膜量子蜂群优化. 所提算法在基础膜可以搜索到单个目标的全局最优解,在表层膜获得兼顾网络效益和公平的Pareto前端解. 通过膜间的通信规则、量子觅食行为的协同演进和非支配解排序可获得能同时求解单目标和多目标优化问题的多目标优化算法,并与经典的敏感图论着色算法、遗传算法、量子遗传算法和粒子群算法等频谱分配算法在不同的目标函数下进行仿真性能比较. 仿真结果表明:在不同网络效益函数下所提的膜量子蜂群频谱分配算法都能够较好地找到单目标最优解,优于经典的频谱分配算法和已有的智能频谱分配算法,还可获得多目标频谱分配的Pareto前端最优解集.
    In order to solve the problem of the multi-objective spectrum allocation on the joint optimization of maximal network utility and fairness of users in cognitive radio network, based on quantum bee colony theory and membrane computing, a novel multi-objective discrete combinatorial optimization algorithm, named membrane-inspired quantum bee optimization, is proposed. The global optimal solution of single objective can be searched in the elementary membranes, and Pareto front solutions which take account of network utility and fairness, can be obtained from skin membrane with the proposed method. The multi-objective optimization algorithm, which can solve both single objective and multi-objective optimization problems at the same time, is designed by the communication rules between membranes, the cooperative evolution of foraging behavior based on quantum state, and non-dominated sorting. Compared with classical color-sensitive graph coloring algorithm, genetic algorithm, quantum genetic algorithm, and particle swarm optimization under different objective functions, the proposed spectrum allocation method can search the global optimal solution of single objective as shown by the simulation results, and it is superior to classical spectrum allocation algorithms and existing intelligence spectrum allocation methods. The optimal Pareto front solutions of multi-objective spectrum allocation are also obtained.
    • 基金项目: 国家自然科学基金(批准号:61102106,61102105)、中国博士后科学基金(批准号:2013M530148)、中央高校基本科研业务费(批准号:HEUCF140809)和黑龙江省博士后科学基金(批准号:LBH-Z13054)资助的课题.
    • Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 61102106, 61102105), the China Postdoctoral Science Foundation (Grant No. 2013M530148), the Fundamental Research Fund for the Central Universities, China (Grant No. HEUCF140809), and the Heilongjiang Postdoctoral Fund, China (Grant No. LBH-Z13054).
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    [4]

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    [5]

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    [6]

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    [7]

    Chai Z Y, Zheng L P, Zhu S F 2012 Acta Phys. Sin. 61 118801 (in Chinese) [柴争义, 郑丽萍, 朱思峰 2012 物理学报 61 118801]

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    Wang Z, Li Y M, Chen B, Zhou T 2013 Acta Phys. Sin. 62 128802 (in Chinese) [汪照, 李有明, 陈斌, 邹婷 2013 物理学报 62 128802]

    [9]

    Zu Y X, Zhou J 2012 Chin. Phys. B 21 019501

    [10]

    Zu Y X, Zhou J, Zeng C C 2010 Chin. Phys. B 19 119501

    [11]

    Zheng H, Peng C 2005 Proc. IEEE International Conference on Communications (ICC) 5 3132

    [12]

    Peng C, Zheng H, Zhao B Y 2006 ACM Mobile Networks and Applications 11 555

    [13]

    Clancy T C 2009 Annales des Telecommunications Annals of Telecommunications 64 573

    [14]

    Huang J, Berry R A, Honig M L 2006 ACM Mobile Networks and Applications 11 405

    [15]

    Niyato D, Hossain E 2008 IEEE Trans. Wireless Commun. 7 2651

    [16]

    Zhao Z J, Peng Z, Zheng S L, Shang J N 2009 IEEE Trans. Wireless Commun. 8 4421

    [17]

    Thilakawardana D, Moessner K 2008 IET Commun. 2 827

    [18]

    Zhao Z J, Peng Z, Zheng S L, Xu S Y, Lou C Y, Yang X N 2009 Acta Phys. Sin. 58 1358 (in Chinese) [赵知劲, 彭振, 郑仕链, 徐世宇, 楼才义, 杨小牛 2009 物理学报 58 1358]

    [19]

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    [20]

    Srinivas N, Kalyanmoy D 1994 Evolut. Comput. 2 221

    [21]

    Deb K, Pratap A, Agarwal S, Meyarivan T 2002 IEEE Trans. Evolut. Comput. 6 182

    [22]

    Gao H Y, Cao J L, Diao M 2013 Int. J. Comput Appl. Technol. 46 244

    [23]

    Păun G, Rozenberg G 2002 Theor. Comput. Sci. 287 73

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    Păun G 2000 J. Comput. Syst. Sci. 61 108

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出版历程
  • 收稿日期:  2014-01-02
  • 修回日期:  2014-03-04
  • 刊出日期:  2014-06-05

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