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 thread  Author  Topic: evalution : polar bears  (Read 225 times)
bluatigro
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xx evalution : polar bears
« Thread started on: Oct 25th, 2015, 11:26am »



this is a example of a genetic algoritm

Code:
''les 99i evolution
dim dna( 11 )
WindowWidth = 800
WindowHeight = 600
nomainwin
open "Polar bears ." for graphics as #m
  #m "trapclose [quit]"
  #m "font Corier_new 30 bold"
  ''first we fill the dna whit random chromoson
  for i = 0 to 11 
    dna( i ) = int( rnd(0) * 2 ^ 24 )
  next
  timer 2000 , [timer]
wait              
[timer]
  #m "fill 127 127 127"
  #m "goto 0 30"
  #m "down"
  #m "\Generation : " ; generation
  #m "up"
  scan
  ''draw bears
  for x = 0 to 2
    for y = 0 to 3
      call draw.bear x * 250 + 50 _
      , y * 75 + 200 , dna( x + y * 3 )
    next y
  next x
  ''next gereration
  generation = generation + 1
  ''sort bears on fitness
  for h = 1 to 11
    for l = 0 to h - 1
      if fout( dna( l ) ) > fout( dna( h ) ) then
        help = dna( l )
        dna( l ) = dna( h )
        dna( h ) = help
      end if
    next l
  next h 
  if fout( dna( 0 ) ) = 0 then
    timer 0
    notice "Generation : " ; generation
    close #m
    end
  end if
  ''create childern and mutate some of them
  for i = 4 to 11
    a = int( rnd(0) * 4 )
    b = int( rnd(0) * 4 )
    dna( i ) = child( dna( a ), dna( b ) ) 
    if rnd(0) > 0.5 then
      dna( i ) = mutate( dna( i ) )
    end if
  next i                    
wait
[quit]
  close #m
end
function fout( kl )
  r = int( kl and 255 )
  g = int( kl / 256 and 255 )
  b = int( kl / 256 ^ 2 and 255 )
  fout = sqr((255-r)^2+(255-g)^2+(255-b)^2)
end function
sub draw.bear x , y , kl
  r = int( kl and 255 )
  g = int( kl / 256 and 255 )
  b = int( kl / 256 ^ 2 and 255 )
  if r + g + b > 127 * 3 then
    #m "color black"
  else
    #m "color white"
  end if
  #m "backcolor " ; r ; " " ; g ; " " ; b
  #m "goto " ; x ; " " ; y
  #m "down"
  #m "\" + nr$( r ) + " " + nr$( g ) + " " + nr$( b )
  #m "up"
end sub    
function nr$( x )
  nr$ = right$( "000" ; x , 3 )
end function
function child( a , b )
  uit = 0
  for i = 0 to 23
    if rnd(0) < 0.5 then
      uit = uit + ( a and ( 2 ^ i ) )
    else
      uit = uit + ( b and ( 2 ^ i ) )
    end if
  next i
  child = uit
end function
function mutate( a )
  mutate = a xor ( 2 ^ int( rnd(0) * 23 ) )
end function

 
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bluatigro
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xx Re: evalution : polar bears
« Reply #1 on: Oct 26th, 2015, 10:10am »

pardon :
- i gave no explanation

GA what :
- evalution in the computer

GA how :
- 1 - : create a set of random polarbears [ dna() ]
- 2 - : look how white the polarbears are [ get fitness ]
- 3 - : sort polarbears on 'whitenes'
- 4 - : best polarbears get children
- 5 - : some childern get mutated
- 6 - : if best polarbear <> white goto 2

this is a simulation
it is based on realyty
differences whit realyty :
- the polarbears are not male or female
- there are les polarbears
- bears reproduce after 2 sec. of live

the numbers you see are the red green blue genes
of the color chromoson

update :
- more bears
- more parents
Code:
global dnamax
dnamax = 29
dim dna( dnamax )
global generation
WindowWidth = 800
WindowHeight = 600
'nomainwin
open "Polar bears ." for graphics as #m
  #m "trapclose [quit]"
  #m "font Corier_new 30 bold"
  ''first we fill the dna whit random chromoson
  for i = 0 to dnamax
    dna( i ) = int( rnd(0) * 2 ^ 24 )
  next
  'goto [timer]
  timer 200 , [timer]
wait
[timer]
  #m "fill 127 127 127"
  #m "goto 0 30"
  #m "down"
  #m "\Generation : " ; generation
  #m "up"
  scan
  ''draw bears
  for x = 0 to 2
    for y = 0 to dnamax / 3
      call draw.bear x * 250 _
      , y * 50 + 90 , dna( x + y * 3 )
    next y
  next x
  ''next gereration
  generation = generation + 1
  ''sort bears on fitness
  for h = 1 to dnamax
    for l = 0 to h - 1
      if fout( dna( l ) ) > fout( dna( h ) ) then
        help = dna( l )
        dna( l ) = dna( h )
        dna( h ) = help
      end if
    next l
  next h
  ''create childern and mutate some of them
  for i = 6 to dnamax
    a = int( rnd(0) * 6 )
    b = int( rnd(0) * 6 )
    dna( i ) = child( dna( a ), dna( b ) )
    if rnd(0) > 0.5 then
      dna( i ) = mutate( dna( i ))
    end if
  next i
wait
[quit]
  close #m
end
function fout( kl )
  r = int( kl and 255 )
  g = int( (kl / 256)) and 255
  b = int( (kl / 256) ^ 2) and 255
  fout = sqr((255-r)^2+(255-g)^2+(255-b)^2)
end function
sub draw.bear x , y , kl
  r = int( kl and 255 )
  g = int( (kl / 256)) and 255
  b = int( (kl / 256)) ^ 2 and 255
  if r + g + b > 127 * 3 then
    #m "color black"
  else
    #m "color white"
  end if
  #m "backcolor " ; r ; " " ; g ; " " ; b
  #m "goto " ; x ; " " ; y
  #m "down"
  #m "\" + nr$( r ) + " " + nr$( g ) + " " + nr$( b )
  #m "up"
end sub
function nr$( x )
  nr$ = right$( "000" ; x , 3 )
end function
function child( a , b )
  uit = 0
  for i = 0 to 23
    if rnd(0) < 0.5 then
      uit = uit + ( a and ( 2 ^ i ) )
    else
      uit = uit + ( b and ( 2 ^ i ) )
    end if
  next i
  child = uit
end function
function mutate( a )
  mutate = a xor ( 2 ^ int( rnd(0) * 23 ) )
end function
 
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bluatigro
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xx Re: evalution : polar bears
« Reply #2 on: Oct 26th, 2015, 11:45am »

update :
- last errors removed
Code:

global dnamax
dnamax = 14
dim dna( dnamax )
global generation
WindowWidth = 800
WindowHeight = 600
nomainwin
open "Polar bears ." for graphics as #m
  #m "trapclose [quit]"
  #m "font Corier_new 30 bold"
  ''first we fill the dna whit random chromoson
  for i = 0 to dnamax
    dna( i ) = int( rnd(0) * 2 ^ 24 )
  next
  timer 2000 , [timer]
wait
[timer]
  #m "fill 127 127 127"
  #m "goto 0 30"
  #m "down"
  #m "\Generation : " ; generation
  #m "up"
  scan
  ''draw bears
  for x = 0 to 2
    for y = 0 to dnamax / 3
      call draw.bear x * 250 _
      , y * 50 + 90 , dna( x + y * 3 )
    next y
  next x
  ''next gereration
  generation = generation + 1
  ''sort bears on fitness
  for h = 1 to dnamax
    for l = 0 to h - 1
      if fout( dna( l ) ) > fout( dna( h ) ) then
        help = dna( l )
        dna( l ) = dna( h )
        dna( h ) = help
      end if
    next l
  next h
  if fout( dna( 0 ) ) = 0 then
    timer 0
    notice "generation : " ; generation
    close #m
    end
  end if
  ''create childern and mutate some of them
  for i = 6 to dnamax
    a = int( rnd(0) * 6 )
    b = int( rnd(0) * 6 )
    dna( i ) = child( dna( a ), dna( b ) )
    if rnd(0) > 0.5 then
      dna( i ) = mutate( dna( i ))
    end if
  next i
wait
[quit]
  close #m
end
function fout( kl )
  r = int( kl) and 255
  g = int( (kl / 256)) and 255
  b = int( kl / ( 256 ^ 2 ) ) and 255
  fout = sqr((255-r)^2+(255-g)^2+(255-b)^2)
end function
sub draw.bear x , y , kl
  r = int( kl and 255 )
  g = int( (kl / 256)) and 255
  b = int( kl / ( 256 ^ 2 )) and 255
  if r + g + b > 127 * 3 then
    #m "color black"
  else
    #m "color white"
  end if
  #m "backcolor " ; r ; " " ; g ; " " ; b
  #m "goto " ; x ; " " ; y
  #m "down"
  #m "\" + nr$( r ) + " " + nr$( g ) + " " + nr$( b )
  #m "up"
end sub
function nr$( x )
  nr$ = right$( "000" ; x , 3 )
end function
function child( a , b )
  uit = 0
  for i = 0 to 23
    if rnd(0) < 0.5 then
      uit = uit + ( a and ( 2 ^ i ) )
    else
      uit = uit + ( b and ( 2 ^ i ) )
    end if
  next i
  child = uit
end function
function mutate( a )
  mutate = a xor ( 2 ^ int( rnd(0) * 23 ) )
end function
 
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