control

用Visuanl C++开发的遗传算法程序

   4       nparam: number of parameters    (i4,2f12.8)
   4 20.0000    100.0000     nbits(i) , brange(i) , erange(i)     (i4,2f12.8)
   4 20.0000    200.0000     nbits(i) , brange(i) , erange(i)     (i4,2f12.8)
   3  1.0000     16.0000     nbits(i) , brange(i) , erange(i)     (i4,2f12.8)
   4  1.0000     20.0000     nbits(i) , brange(i) , erange(i)     (i4,2f12.8)
  20       nindiv: number of individuals in one population (i4,2f12.8)
  -1       idum: initial value for random number generation (*)
  50       npop: maximum number of populations to be treated (*)
  40       nchild: (even!) number of children (i4)
   6       mrate: mutation rate (tnbit/mrate bits are mutated) (i4)
   6       nsurv: number of best parents that should survive anyway (i4)
 2.6       tension: a tension factor (0.25-2)? for cross.exe
 


(line 1) nparam :number of parameters that one wishes to refine
(lines 2 through nparam+1) : number of bits to define variable; min value, max value
(i.e. Maximum Value:         16.
      Minimum Value:          1.
      Number of Bits:          3.

       1    =>   000
       3.14 =>   001
       5.28 =>   010
       7.42 =>   011
       9.57 =>   100
      11.71 =>   101
      13.85 =>   110
      16    =>   111  )
       

(line nparam+2) nindiv :
(line nparam+3) idum :
(line nparam+4) npop: 
(line nparam+5) nchild: must be an even number and greater than the number of parents
(line nparam+6) mrate: mutation rate (tnbit/mrate bits are mutated) (i4)
(line nparam+7) nsurv: saved to keep.control
(line nparam*8) tension: a tension factor (0.25-2)? for cross.exe and cross_share.exe