i want to change this python program to matlab

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

Answer 1

[yared Zeleke]

clc

clear all

target="hello,world!";

function fitval = fitness(source, target)%def calc_fitness;

fitval = 0;

for i = 1 : length(source)

fitval = fitval + (double(target(i)) - double(source(i))) ^ 2;

end

end

function [child_dna,child_fitness]=mutate(parent1,parent2)%def mutate(parent1,

parent2):

child_dna=parent1(1,:);

start=randi(size(parent2(1,:)),1,1);

stop=randi(size(parent2(1,:)),1,1);

if(start>stop) tmp=start; start=stop; stop=start; end

child_dna(start:stop)=parent2(1,start:stop);

charpos=randi(size(child_dna),1,1);

child_dna(charpos)=char(uint8(child_dna(charpos))+randi(3,1,1)-2);

%child_fitness=calc_fitness(child_dna,target);

child_fitness=0;

end

function [x] = random_parent(genepool , GENSIZE)

wRndNr = rand() * rand() * ( GENSIZE - 1 )

wRndNr = int32(wRndNr); x = genepool(wRndNr);

[yared Zeleke]

this is some part of it any one would you finish it up please?