output.bipolar.30.fitness

PostsBayesian Optimization Algorithm with Decision Graphs in C++,

  0     900   4.600000   3.421778   0.800000
  1    1350   4.600000   3.842444   0.900000
  2    1800   4.600000   4.108222   1.600000
  3    2250   4.600000   4.219889   2.400000
  4    2700   4.700000   4.291556   2.600000
  5    3150   4.700000   4.286667   2.500000
  6    3600   4.700000   4.325556   2.600000
  7    4050   4.800000   4.468333   4.000000
  8    4500   4.800000   4.392333   2.700000
  9    4950   4.800000   4.495000   3.500000
 10    5400   4.900000   4.556000   3.500000
 11    5850   4.900000   4.610889   3.600000
 12    6300   5.000000   4.700333   3.800000
 13    6750   5.000000   4.757556   3.800000
 14    7200   5.000000   4.796445   3.800000
 15    7650   5.000000   4.858222   3.900000
 16    8100   5.000000   4.921222   4.700000
 17    8550   5.000000   4.955333   4.700000
 18    9000   5.000000   5.000000   5.000000