find minimum of math function with genetic algorithm in matlab
此files-main.m需要进行哪些修改?
global population;
global fitness;
global popsize;
format bank;
popsize=50;
report=zeros(popsize,2);
selected=ones(1,50);
fitness=zeros(1,50);
population = randi([0 1], 50, 10);
for j=1:popsize
calFitness();
for i=1:popsize
selected(1,i)=(rol_wheel(fitness));
end;
population =recombin(population,selected);
report(j,:)=[min(fitness),mean(fitness)];
end
calFitness
function [] = calFitness( )
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
global population;
global fitness;
global popsize;
%population=population.*2;
for i=1:popsize
x=bin2dec(num2str(population(i,:)))/2;
fitness(1,i)= abs(x*sin(sqrt(abs(x))));
%disp(fitness);
end
%disp();
rol_wheel
% ---------------------------------------------------------
% Roulette Wheel Selection Algorithm. A set of weights
% represents the probability of selection of each
% individual in a group of choices. It returns the index
% of the chosen individual.
% Usage example:
% fortune_wheel ([1 5 3 15 8 1])
% most probable result is 4 (weights 15)
% ---------------------------------------------------------
function choice = rol_wheel(weights)
accumulation = cumsum(weights);
p = rand() * accumulation(end);
chosen_index = -1;
for index = 1 : length(accumulation)
if (accumulation(index) > p)
chosen_index = index;
break;
end
end
%keyboard
choice = chosen_index;
recombin
function pop = recombin( popu,selected )
global popsize;
pop=zeros(50,10);
for i=1:popsize/2
rc=randi([1,10]);
for j=1:10
pop(i,1:rc-1)=popu(selected(i),1:rc-1);
pop(i,rc:end)=popu(selected(i+25),rc:end);
pop(i+25,1:rc-1)=popu(selected(i+25),1:rc-1);
pop(i+25,rc:end)=popu(selected(i),rc:end);
%keyboard
end
end
end
我想找到这个文件的最小功能。现在需要做哪些修改?
答案 0 :(得分:0)
你需要健身替换
fitness(1,i)= abs(x*sin(sqrt(abs(x))));
代表
fitness(1,i)= 1 / abs(x*sin(sqrt(abs(x))));
或类似的东西;
但是你需要增加一些零分割保护。