Phyton program #!/usr/bin/python import random import string target = \"Hello, W
ID: 3707484 • Letter: P
Question
Phyton program
#!/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'])
)
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
Matlab program
clear;close all;clc;
target = input('Enter a string (max 30 chars in length): ', 's');
GENSIZE = 20;
genepool = []
for i:length(GENEZIZE):
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
%fitval = fitness(child, target);
while child_fitness ~=0
generation +=1
genepool.sort(key=lambda candidate:candidate['fitness'])
dump_genepool(generation, genepool)
parent1 = get_parent(genepool);
parent2 = get_parent(genepool);
child_= mutate(parent1, parent2);
child_fitness = calc_fitness(child, target);
end
def dump_genepool(generation, genepool):
for candidate in genepool:
print "%6i %6i %15s" % (
generation,
candidate['fitness'],
''.join(candidate['dna'])
)
function child_fitness = calc_fitness(source, target)%def calc_fitness;
child_fitness = 0;
for i = 1 : length(source)
child_fitness= child_fitness + (double(target(i)) - double(source(i))) ^ 2;
end
end
function [child_dna,child_fitness]=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)
end
function [x] = get_parent(genepool , GENSIZE)
wRndNr = rand() * rand() * ( GENSIZE - 1 );
wRndNr = int32(wRndNr);
x = genepool(wRndNr);
end
Please I need some help I am trying to convert the first phyton program to matlab I have tried but it is not work please any one would correct me thanks
Explanation / Answer
Instead of converting the Python code to the Matlab , you could actually call python scripts from the Matlab, please find the following info :
This example shows how to call a MATLAB® script to compute the area of a triangle from Python®.
In your current folder, create a MATLAB script in a file named triarea.m.
After you save the file, start Python and call the script.
Specify nargout=0. Although the script prints output, it returns no output arguments to Python.
Convert the script to a function and call the function from the engine. To edit the file, open the MATLAB editor.
Delete the three statements. Then add a function declaration and save the file.
Call the new triarea function from the engine.
The triarea function returns only one output argument, so there is no need to specify nargout.