The GA parameters are:
  populationSize      = 100
  numXoverPoints      = 1
  crossoverRate       = 0.7
  mutationRate        = 0.01
  doElitism           = true
  printPerGens        = 100
  maxGenerations      = 1000
  Debug.flag          = false
  logFileName         = byte.txt
ByteCountChromosome: chromosome length is 64
GA: chromosome length = 64
GA: mainLoop
Known solution fitness is 64.0
Initial population: generation=0 best value=8.0 avg=0.08 stddev=0.8
most fit (previous generation=0):
   1101011001101111001111100101001000011000111011011111111110001100
   this chromosome has 1 bytes set
    fitness= 8.0
number of crossovers and mutations: 0 and 0
Report: generation=100 best value=40.0 avg=25.68 stddev=7.567714518287736
most fit (previous generation=71):
   1111111111111111111111111101000000100100111111111111111100000110
   this chromosome has 5 bytes set
    fitness= 40.0
number of crossovers and mutations: 3480 and 6427
Report: generation=200 best value=48.0 avg=31.36 stddev=7.252335047166779
most fit (previous generation=196):
   1111111111111111111111111101011111001111111111111111111111111111
   this chromosome has 6 bytes set
    fitness= 48.0
number of crossovers and mutations: 6959 and 12696
Simulation completed in 227 generations and 30.601 seconds
Best member (generation=227):
   1111111111111111111111111111111111111111111111111111111111111111
   this chromosome has 8 bytes set
    fitness= 64.0