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Nevergrad Experiments

Using the nevergrad experimentation engine for each different project (i.e. recorded data sequence), the following plots and comparisons are obtained:

  • Project#1

    PlotComparison
    plot_project1compare_project1
  • Project#2

    PlotComparison
    plot_project2compare_project2
  • Project#3

    PlotComparison
    plot_project3compare_project3
  • Project#4

    PlotComparison
    plot_project4compare_project4
  • Project#5

    PlotComparison
    plot_project5compare_project5
  • Project#6

    PlotComparison
    plot_project6compare_project6
  • Project#7

    PlotComparison
    plot_project7compare_project7
  • Project#8

    PlotComparison
    plot_project8compare_project8
  • Project#9

    PlotComparison
    plot_project9compare_project9
  • Project#10

    PlotComparison
    plot_project10compare_project10
  • Project#11

    PlotComparison
    plot_project11compare_project11

Optimizer Evaluation

For each project and optimizer we denote the best performing optimizer for that project by bold and italics, the second best by bold and the third best by italics.

Loss

Results with respect to the optimized function values for a budget of 7000:

OptimizerProject#1Project#2Project#3Project#4Project#5Project#6Project#7Project#8Project#9Project#10Project#11Average
chainCMAPowell0.0300.0330.0340.0290.0330.0270.0380.0250.0300.0470.0370.033
CMA0.0280.0270.0320.0260.0310.0250.0330.0230.0270.0450.0280.030
DE0.0510.0440.0640.0420.0480.0420.0510.0360.0400.0530.0450.047
DiscreteOnePlusOne0.0310.0290.0510.0310.0320.0280.0370.0220.0290.0430.0310.033
NGO0.0290.0310.0370.0290.0330.0270.0390.0250.0280.0440.0320.032
Powell0.0270.0270.0580.0300.0320.0300.0390.0220.0290.0470.0290.034
RandomSearch0.0880.0840.0840.0730.0760.0670.0770.0580.0650.0760.0640.074
RealSpacePSO0.0300.0260.0330.0270.0310.0240.0340.0220.0280.0440.0290.030
Shiwa0.0300.0300.0360.0310.0330.0270.0370.0250.0310.0430.0390.033
TBPSA0.0640.0440.0700.0600.0540.0510.0610.0270.0450.0680.0540.054

Hausdorff

Results with respect to standard metric (symmetric Hausorff distance) for a budget of 7000:

OptimizerProject#1Project#2Project#3Project#4Project#5Project#6Project#7Project#8Project#9Project#10Project#11Average
chainCMAPowell0.0720.0670.0680.0640.1030.1080.1180.0600.0630.5470.1620.130
CMA0.0910.0630.0740.0640.1050.1050.0950.0610.0590.5390.0570.119
DE0.1170.0940.1220.0850.1190.1230.1510.0780.0900.5370.1060.148
DiscreteOnePlusOne0.0690.0570.1060.0770.1110.1120.1110.0510.0560.5330.0760.124
NGO0.0680.0640.0680.0610.0960.1130.1140.0560.0560.5430.0630.119
Powell0.0680.0590.1210.0720.1070.1070.0910.0540.0570.5400.0750.123
RandomSearch0.1690.1890.1730.1440.1920.1650.2070.1370.1600.4810.1390.196
RealSpacePSO0.0900.0620.0690.0560.1060.1130.1020.0570.0650.5360.0580.120
Shiwa0.0750.0600.0740.1150.1020.1090.1030.0510.0670.5470.1830.135
TBPSA0.1370.0820.1390.1330.1550.1420.1480.0790.1030.4790.1560.159

Combined

Results with respect to standard metric (symmetric Hausorff distance) across all budgets (2000, 4000, 7000):

LossHausorff
LossVSBudgetHausVSBudget