#!/usr/bin/python

import random

import string

target = "Hello, World!"

def calc_fitness(source, target):

fitval = 0

for i in range(0, len(source)):

fitval += (ord(target[i]) - ord(source[i])) ** 2

return(fitval)

def mutate(parent1, parent2):

child_dna = parent1['dna'][:]

# Mix both DNAs

start = random.randint(0, len(parent2['dna']) - 1)

stop = random.randint(0, len(parent2['dna']) - 1)

if start > stop:

stop, start = start, stop

child_dna[start:stop] = parent2['dna'][start:stop]

# Mutate one position

charpos = random.randint(0, len(child_dna) - 1)

child_dna[charpos] = chr(ord(child_dna[charpos]) + random.randint(-1,1))

child_fitness = calc_fitness(child_dna, target)

return({'dna': child_dna, 'fitness': child_fitness})

def random_parent(genepool):

wRndNr = random.random() * random.random() * (GENSIZE - 1)

wRndNr = int(wRndNr)

return(genepool[wRndNr])

def dump_genepool(generation, genepool):

for candidate in genepool:

print "%6i %6i %15s" % (

generation,

candidate['fitness'],

''.join(candidate['dna'])

)

print

GENSIZE = 20

genepool = []

for i in range(0, GENSIZE):

dna = [random.choice(string.printable[:-5]) for j in range(0, len(target))]

fitness = calc_fitness(dna, target)

candidate = {'dna': dna, 'fitness': fitness }

genepool.append(candidate)

generation = 0

while True:

generation += 1

genepool.sort(key=lambda candidate: candidate['fitness'])

dump_genepool(generation, genepool)

if genepool[0]['fitness'] == 0:

# Target reached

break

parent1 = random_parent(genepool)

parent2 = random_parent(genepool)

child = mutate(parent1, parent2)

if child['fitness'] < genepool[-1]['fitness']:

genepool[-1] = child

pleace help me to change this to c++ programing or matlab programing