For more information, see following link:
http://yarpiz.com/59/ypea121-mopso
Cite As
Yarpiz (2020). Multi-Objective Particle Swarm Optimization (MOPSO) (https://www.mathworks.com/matlabcentral/fileexchange/52870-multi-objective-particle-swarm-optimization-mopso), MATLAB Central File Exchange. Retrieved .
Comments and Ratings (36)
Updates
| 1.0.0.0 | Bug Resolved: minor bug in the application of lower and upper bound for variables. |
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YPEA121 MOPSO/MOPSO/
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Ruiqi Wang (view profile)
Very useful program. Structure is very clear, and it is easy to modify. Thank the authors.
Joshua Desbordes (view profile)
Error in Mutate (line 33)
xnew(j)=unifrnd(lb,ub);
simpily do this
SOLVED
xnew=x;
xnew(j)=unifrnd(lb(j),ub(j));
Cheng-Ying Yang (view profile)
Thanks, it's great. But how do we define nonlinear constraints in this code?
manish sharma (view profile)
Sir, I am using your Matlab code but I am facing the same problem as Ravi Mandava. Please help me.
Fodhil Fadhila (view profile)
Nafees Ahamad (view profile)
Index exceeds matrix dimensions.
Error in FindGridIndex (line 24)
particle.GridSubIndex(j)=...
Error in mopso (line 87)
rep(i)=FindGridIndex(rep(i),Grid);
Error in main (line 14)
Problem can be solved if you put
z = [f1 ; f2]; not z = [f1 f2];
nima rezaee (view profile)
firs of all awesome code and algorithm. thank you.
but unfortunately i have the same problem as RAVI MANDAVA. i want to have different varmin and varmax for each variable in mopso.
i can change the code but im not sure it will work. i dont know maybe im missing something.
can someone please help me .
thanks in advance.
yibe man (view profile)
can you tell me how to accept the training and test data from excel
freedomangel (view profile)
osama bany mousa (view profile)
This is great!
Thank you
liruixinch liruixinch (view profile)
Anuraag Dash (view profile)
How to implement it in MATLAB
MANPREET SHARMA (view profile)
Can anyone please tell me HOw to convert the normalized pareto fronts (between 0 and 1 ) into original values ??
email id : sharmamanpreet35@gmail.com
RAVI MANDAVA (view profile)
hi I am using Mopso but i have 4 variables i am facing error. how i will write the Varmax and Var min in mutate function
Error:
VarMax =
10 100 60 6
VarMin =
6 50 40 2
In an assignment A(I) = B, the number of elements in B and I must be the
same.
Error in Mutate (line 33)
xnew(j)=unifrnd(lb,ub);
Error in mopso (line 120)
NewSol.Position=Mutate(pop(i).Position,pm,VarMin,VarMax);
MANPREET SHARMA (view profile)
Can anyone PLEASE explain me, how to use this toolbox ?
Luanna Lira (view profile)
Does this code deal with binary variables?
Mingjuan Zhu (view profile)
Thank you. Great works.
Could you tell me the paper about this code?
Abdoulaye SAADOU YAYE (view profile)
Great work! Thanks for sharing.
Saket Kulkarni (view profile)
How do we define constraints in this implementation ?
preeti s (view profile)
Can anyone tell me what is that exact function.That function in not in code library...
Undefined function or variable 'unifrnd'.
Error in mopso (line 66)
pop(i).Position=unifrnd(VarMin,VarMax,VarSize);
ahmed abdulsahib (view profile)
think you ... where is equation which write this code or where is the refreance paper for this code ... and have you optimal sizing and location to reduce power losses in radial distribution system can you help me plase
my email
al_mohnds2006@yahoo.com
Crystal Tinnes (view profile)
shashi bhushan jha (view profile)
please share the published paper link
Dilip Kumar Roy (view profile)
Thanks, Great work! Is it suitable for non-linear constraints?
Lined Koukeche (view profile)
Hi,
Thanks for the file.
Please how to display the optimal solutions for the variables?
Looking for your reply as soon as possible.
Regards.
sidharth parhi (view profile)
Index exceeds matrix dimensions.
Error in FindGridIndex (line 24)
particle.GridSubIndex(j)=...
Error in mopso (line 87)
rep(i)=FindGridIndex(rep(i),Grid);
Error in main (line 14)
mopso;
The above error is showing while I am taking 3 variables with different ranges.
wang (view profile)
dear Yarpiz,
how to make sure that the generated element is within the specified decision space,like this:-1<x1<1,2<x2<5,-2<x3<8,.... thank u !
juzheng zhang (view profile)
good
Fred (view profile)
Hi,
Great work, thanks for sharing.
I have a question regarding how to handle constraints in MOPSO. In GA I know there is a feature where you can define your constraints but I could not find any similar thing in MOPSO. More specifically, I'm doing power system optimization and would like to check my bus voltages after each solution and if my voltages are not in the limits then I would like to give a message to the solver it is not the right way to go. I used to do it in GA by assigning infinity to the cost function when my voltages out of the range. I've tried the same thing in MOPSO, but did not work.
Thanks,
Abdulaziz (view profile)
Kareem Metwaly (view profile)
Fernando Silva (view profile)
Great code! There is some version of PSO with binary representation of the particles?
Adri Jenie (view profile)
i'm doing a PSO for aggregate production planning with many decision variables. how many particle in a swarm i must initiate to find pareto optimal for optimizing 16 variable
Mahesh Kumar (view profile)
How to update the velocity of particle,
initial particle.....particle(i).Position
pbest......particle(i).Best.Position
gbest.......rep_h.Position
if we see the value of initial particle (particle(i).Position) and best particle position (particle(i).Best.Position) is same so in the velocity update it will be zero value.
anyone can help in this please
Yarpiz (view profile)
Thank you for your comment. There were a minor bug in the code, which is now resolved. The lower and upper bound of variables did not applied correctly.
qiang (view profile)
hello,i need your help please. i use the function ZDT.m which from "ypea124-moea-d",but it can not run. help me please. thank you very much!
??? Improper assignment with rectangular empty matrix.
Error in ==> FindGridIndex at 24
particle.GridSubIndex(j)=...
Error in ==> mopsozdt1 at 158
rep(i)=FindGridIndex(rep(i),Grid);