Borrar filtros
Borrar filtros

error in particle swarm optimization code

2 visualizaciones (últimos 30 días)
scorpio 09
scorpio 09 el 4 de Abr. de 2014
Respondida: Walter Roberson el 4 de Abr. de 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

Respuestas (1)

Walter Roberson
Walter Roberson el 4 de Abr. de 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.

Categorías

Más información sobre Particle Swarm en Help Center y File Exchange.

Community Treasure Hunt

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

Start Hunting!

Translated by