Both matlab program (Evolve1.m and Evolve2.m are need to be incoprated in to the same GUI please i need help if you want the instruction as bellow

For Evolve1.m the instruction says that The Gui should display the final iteration number,source and fitness(should be the target with a fitness 0f 0).

For Evolve2.m the instruction says that The Gui should display the gene-pool and the fitness values beside that the GUI should display the final sorted population and fitness values,along with the final iteration number

%%Evolve1.m

clc

clear all

t= input('Enter a string (max 30 chars in length): ', 's');

numRands=length(t);

tlength=numRands;

source=t(ceil(rand(1,tlength)*numRands));

fitval = fitness(source, t);

i = 0;

disp(' ')

% printing header

fprintf('Iteration No.\t\tfitnes Value\t\tMutated Source ')

disp('======================================================')

while 1

m = mutate(source);

fitval_m = fitness(m, t);

if fitval_m < fitval

fitval = fitval_m;

source = m;

end

if fitval == 0

% Printing the last Mutation detail

fprintf('%-19i %-20i %s ', i, fitval_m, m);

break

end

if mod(i, 100) == 0

% Printing each 100th mutation

fprintf('%-19i %-20i %s ', i, fitval_m, m);

end

i = i + 1;

end

function fitval = fitness(source, t)

fitval = 0;

for i = 1 : length(source)

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

end

end

function parts = mutate(source)

parts = source;

charpos = randi(length(source));

parts(charpos) = char(double(parts(charpos)) + (randi(3)-2));

end

%%Evolve2.m

clear;close all;clc;

GENSIZE=20;

target =input('Enter a string (max 30 chars in length): ', 's');

genepool=[];

pop= char(randi(127,GENSIZE,length(target)));

i=1;

disp(' ')

% printing header

fprintf('Iteration No.\t\tfitnes Value\t\tMutated Source ')

disp('======================================================')

for i=1:GENSIZE

dna = pop(i,:);

fitness = calc_fitness(dna, target);

genepool(i,:)=[dna fitness];

end

child_fitness = 1500;

parent1 = get_parent(genepool);

parent2 = get_parent(genepool);

child = mutate(parent1,parent2);

fprintf('%-19i %-20i %s ',i, child_fitness, char(child));

while child_fitness~=0

i=i+1;

parent1 = get_parent(genepool);

parent2 = get_parent(genepool);

child = mutate(parent1,parent2);

child_fitness = calc_fitness(child,target);

genepool(GENSIZE,:) =[child, child_fitness];

genepool=(sortrows(genepool,length(target)+1,'ascend'));

genepool=(sortrows(genepool,length(target)+1,'ascend'));

if mod(i, 100) == 0 % Printing each 100th mutation

disp('');

fprintf('%-19i %-20i %s ', i, child_fitness, char(child));

end

end

genepool=(sortrows(genepool,length(target)+1,'ascend'));

fprintf('%-19i %-20i %s ',i, child_fitness, char(child));

disp(sortrows(genepool,length(target),'ascend'));

function[parent1,parent2] = get_parent( genepool)

parent1 = genepool(:,1:end-1);

parent2 = genepool(:,2:end-1);

end

function [child_dna]=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);

end

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

fitval=0;

for i = 1 : length(source)

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

end

end