图共 6个 表共 4
    • 图  1  CVPADE算法流程图

      Figure 1.  Flow chart of CVPADE algorithm

    • 图  2  不同变异策略对比

      Figure 2.  Comparison of different variation strategies

    • 图  3  控制参数F变化曲线

      Figure 3.  Variation curves of control parameter F

    • 图  4  控制参数进化趋势曲线

      Figure 4.  Control parameter evolution trend curves

    • 图  5  种群平均适应度进化曲线对比

      Figure 5.  Comparison of population mean fitness evolution curves

    • 图  6  组分质量收率进化曲线

      Figure 6.  Evolution curves of component mass yield

    • IBPFBPMaPONA/%DSCOT/℃COP/kpa
      PNA
      47.2186.5107.364.722.712.60.683295

      表 1  原料特性与操作工况

      Table 1.  Material characteristics and operating conditions

    • AlgorithmBestFitnessConvergence time/h
      DE4.359120.17
      jDE2.948111.05
      CVPADE2.42672.2

      表 2  最优适应度与收敛时间对比

      Table 2.  Comparison of optimal fitness and convergence time

    • CoefficientCalculatedLiteratureCoefficientCalculatedLiterature
      a10.376 10.58a60.024 20.02
      a20.678 10.68a70.068 30.035
      a30.937 70.88a80.127 80.2
      a40.167 60.1a90.148 20.07
      a50.635 00.6a100.371 30.09

      表 3  计算的Kumar模型参数与原参数对比

      Table 3.  Contrast of the calculated Kumar model parameters and the original parameters

    • ProductYield/%
      ActualCalculatedDeviationLiteratureDeviation
      H20.7390.7450.8101.18059.90
      CH412.29712.3400.35012.935.16
      C2H425.14325.1850.16728.00011.30
      C2H63.1803.2121.0102.18031.00
      C3H615.21915.2000.12515.0001.42
      C3H80.3190.3375.6000.60088.12
      C4H100.4100.4315.1201.160182.80
      C4H84.3364.2930.9904.4201.97
      C4H65.9215.9160.0843.50040.00

      表 4  产品实际收率与计算收率对比

      Table 4.  Contrast of the actual yield and the calculated yield