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i want to change this python program to matlab

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yared Zeleke
yared Zeleke on 3 Apr 2018
Commented: yared Zeleke on 10 Apr 2018
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

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Answers (1)

yared Zeleke
yared Zeleke on 4 Apr 2018
Edited: yared Zeleke on 4 Apr 2018
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);

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yared Zeleke
yared Zeleke on 10 Apr 2018
this is some part of it any one would you finish it up please?

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