图共 5个 表共 1
    • 图  1  网络模型

      Figure 1. 

    • 图  2  路径规划示意图

      Figure 2. 

    • 图  3  3种场景下VN-MOAC算法和NSGA-II算法性能统计盒状图

      Figure 3. 

    • 图  4  50个节点和100个节点下算法的收敛性对比

      Figure 4. 

    • 图  5  VN-MOAC算法在不同迭代次数下的Pareto前沿

      Figure 5. 

    • 指标网络场景$\phi $ (%)$\overline {\Delta \tau } $ (s)${\rm{RN}}$${\rm{SP}}$$M_3^*$
      VN-MOACNSGA-IIVN-MOACNSGA-IIVN-MOACNSGA-IIVN-MOACNSGA-IIVN-MOACNSGA-II
      最优值L194.0292.311663.821812.30452938.5045.67392.65378.86
      L288.9485.78769.241176.023525161.93180.14391.60342.24
      L395.8593.361608.941813.72492785.69105.50373.73294.36
      最差值L175.9873.755184.725361.462617790.03883.1031.5920.73
      L269.3067.163784.313898.691813794.47869.2642.2524.29
      L376.3571.245197.555408.482112690.69726.3183.7373.19
      平均值L185.0183.473145.273359.453821389.43510.69192.43167.94
      L280.1775.442189.462411.952618391.85416.68220.62202.72
      L385.9882.763268.983333.713720363.16393.92187.60166.90
      中值L184.8682.843137.803145.033822410.53527.60125.6295.47
      L282.3474.662285.312329.712719352.32406.76204.86171.06
      L387.8182.483308.813365.683821347.66384.47182.56172.99

      表 1  VN-MOAC算法和NSGA-II算法计算结果比较