output.trap5.90.fitness

PostsBayesian Optimization Algorithm with Decision Graphs in C++,

  0    5200  49.000000  30.391923  13.000000
  1    7800  49.000000  33.542692  14.000000
  2   10400  58.000000  36.275962  18.000000
  3   13000  59.000000  38.990577  22.000000
  4   15600  60.000000  42.098654  26.000000
  5   18200  68.000000  45.436346  26.000000
  6   20800  68.000000  48.693269  29.000000
  7   23400  70.000000  52.107115  35.000000
  8   26000  72.000000  55.660385  37.000000
  9   28600  78.000000  59.050769  41.000000
 10   31200  78.000000  62.317308  43.000000
 11   33800  82.000000  65.502308  48.000000
 12   36400  83.000000  68.581346  52.000000
 13   39000  85.000000  71.468269  51.000000
 14   41600  86.000000  74.194038  59.000000
 15   44200  89.000000  76.712885  61.000000
 16   46800  89.000000  79.080000  66.000000
 17   49400  89.000000  81.030192  69.000000
 18   52000  89.000000  82.809231  69.000000
 19   54600  90.000000  84.367692  76.000000
 20   57200  90.000000  85.683846  79.000000
 21   59800  90.000000  86.796731  81.000000
 22   62400  90.000000  87.645385  81.000000
 23   65000  90.000000  88.403077  82.000000
 24   67600  90.000000  88.977115  78.000000
 25   70200  90.000000  89.390577  80.000000
 26   72800  90.000000  89.895385  88.000000
 27   75400  90.000000  90.000000  90.000000