error in particle swarm optimization code

1 view (last 30 days)
scorpio 09
scorpio 09 on 4 Apr 2014
Answered: Walter Roberson on 4 Apr 2014
i got this code from mathworks
clear all;
numofdims = 30;
numofparticles = 50;
c1 = 2;
c2 = 2;
numofiterations = 1000;
V = zeros(50, 30);
initialpop = V;
Vmin = zeros(30, 1);
Vmax = Vmin;
Xmax = ones(30, 1) * 100;
Xmin = -Xmax;
pbestfits = zeros(50, 1);
worsts = zeros(50, 1);
bests = zeros(50, 1);
meanfits = zeros(50, 1);
pbests = zeros(50, 30);
initialpop = Xmin + (Xmax - Xmin) .* rand(numofparticles, numofdims);
X = initialpop;
fitnesses = testfunc1(X);
[minfit, minfitidx] = min(fitnesses);
gbestfit = minfit;
gbest = X(minfitidx, :);
for i = 1:numofdims
Vmax(i) = 0.2 * (Xmax(i) - Xmin(i));
Vmin(i) = -Vmax(i);
end
for t = 1:1000
w = 0.9 - 0.7 * (t / numofiterations);
for i = 1:numofparticles
if(fitnesses(i) < pbestfits(i))
pbestfits(i) = fitnesses(i);
pbests(i, :) = X(i, :);
end
end
for i = 1:numofparticles
for j = 1:numofdims
V(i, j) = min(max((w * V(i, j) + rand * c1 * (pbests(i, j) - X(i, j))...
+ rand * c2 * (gbest(j) - X(i, j))), Vmin(j)), Vmax(j));
X(i, j) = min(max((X(i, j) + V(i, j)), Xmin(j)), Xmax(j));
end
end
fitnesses = testfunc1(X);
[minfit, minfitidx] = min(fitnesses);
if(minfit < gbestfit)
gbestfit = minfit;
gbest = X(minfitidx, :);
end
worsts(t) = max(fitnesses);
bests(t) = gbestfit;
meanfits(t) = mean(fitnesses);
end
when is execute
i am getting error in line "initialpop = Xmin + (Xmax - Xmin) .* rand(numofparticles, numofdims);"
Error using *
Inner matrix dimensions must agree.
please help me

Answers (1)

Walter Roberson
Walter Roberson on 4 Apr 2014
That code was taken from a user posting asking for help. The code is not functional.
The user appears to have copied from a 2012 post in stackoverflow, as the same code and same error appeared then.
When you run into trouble with code that you copied, you should be asking the author of the code. Or writing your own code. If you had written the code then we could at least have asked you what the intent of the line was.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!