output.3decoverlap.61.fitness

PostsBayesian Optimization Algorithm with Decision Graphs in C++,

  0    3500  23.899996  16.138314   6.600000
  1    5250  24.299995  17.843971   8.000000
  2    7000  24.499998  19.191770  12.200001
  3    8750  26.099995  20.338084  13.300001
  4   10500  26.299992  21.474997  12.900001
  5   12250  27.199999  22.460968  16.600000
  6   14000  27.199999  23.442739  17.400000
  7   15750  27.199999  24.240738  20.200001
  8   17500  27.599997  24.908652  20.199997
  9   19250  27.699997  25.411195  21.399996
 10   21000  27.799999  25.902766  22.599997
 11   22750  28.400000  26.279424  23.599993
 12   24500  28.700001  26.623424  24.699995
 13   26250  28.799995  26.951796  24.999992
 14   28000  29.400000  27.309997  25.299997
 15   29750  29.400000  27.669483  25.399998
 16   31500  29.600000  28.020712  26.099997
 17   33250  29.600000  28.357227  26.299997
 18   35000  29.600000  28.681656  26.499996
 19   36750  30.000000  28.979057  27.199995
 20   38500  30.000000  29.237400  27.799995
 21   40250  30.000000  29.428029  28.200001
 22   42000  30.000000  29.542143  28.299999
 23   43750  30.000000  29.593343  28.299999
 24   45500  30.000000  29.602743  29.600000
 25   47250  30.000000  29.604686  29.600000
 26   49000  30.000000  29.609715  29.600000
 27   50750  30.000000  29.619086  29.600000
 28   52500  30.000000  29.638743  29.600000
 29   54250  30.000000  29.674515  29.600000
 30   56000  30.000000  29.748800  29.600000
 31   57750  30.000000  29.897943  29.600000
 32   59500  30.000000  30.000000  30.000000