Particle Swarm Optimization Toolbox

With Trelea, Common, and Clerc types along with ...

Description

Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection.

This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several papers have been developed using it but it is also in constant development and very easy to hack. Users of MATLAB's Optimization Toolbox should feel right at home but even if you don't use that toolbox this will be easy to figure. Extensive help is included.

Anyone from serious AI researchers to beginning students should get something out of this.

This toolbox is constantly evolving and I welcome suggestions.

Current feature set:
* Trelea, Clerc, and Common Types
* Vectorized and non-vectorized versions, you can investigate thousands of particles at once with the proper cost function.
* custom plotting plug ins
* neural net trainer (requires Matlab's neural net toolbox)
* PDF Particle Swarm Introduction
* Alpha version of change detection, will track dynamic environments
* includes suite of test functions commonly used in the CI/optimization community.

• Acknowledgements: This submission has inspired the following:; PSO solution to economic dispatch, Improved PSO program to solve Economic Dispatch, Solution to Optimal Power flow by PSO, PSO solition to Optimal Power flow, PSO solution toEconomic dispatch with Multiple fuel Options, Another Particle Swarm Toolbox
• Required Products: Neural Network Toolbox
• MATLAB release: MATLAB 7.0.1 (R14SP1)
• Other requirements: * current version works in Matlab 7 but has been in development since Matlab 5 so might work in the earlier versions too.

Other Files

A Particle Swarm Optimization (PSO) Primer.pdf,
DemoPSOBehavior.m,
goplotpso4demo.m,
goplotpso.m,
pso_Trelea_vectorized.m,
ReadME.txt,
hiddenutils/forcecol.m,
hiddenutils/forcerow.m,
hiddenutils/linear_dyn.m,
hiddenutils/normmat.m,
hiddenutils/spiral_dyn.m,
nnet/demoPSOnet.m,
nnet/goplotpso4net.m,
nnet/pso_neteval.m,
nnet/trainpso.m,
testfunctions/ackley.m,
testfunctions/alpine.m,
testfunctions/DeJong_f2.m,
testfunctions/DeJong_f3.m,
testfunctions/DeJong_f4.m,
testfunctions/f6.m,
testfunctions/f6mod.m,
testfunctions/f6_bubbles_dyn.m,
testfunctions/f6_linear_dyn.m,
testfunctions/f6_spiral_dyn.m,
testfunctions/Foxhole.m,
testfunctions/Griewank.m,
testfunctions/NDparabola.m,
testfunctions/Rastrigin.m,
testfunctions/Rosenbrock.m,
testfunctions/tripod.m

[zhuohua duan]

 

[Kurt Lewis]

I don't know much about theis, but if the program won't run on the example included in the help, then I think I can't use it:

> out = pso_Trelea('f6',2)
??? Error using ==> f6
Too many input arguments.

Error in ==> pso_Trelea at 203
    out(j)=eval(evstrg); % evaluate desired function with particle j

[sione palu]

Brian, could you please give a more examples. I find it excellent for a new learner like me about the subject.

[John D'Errico]

A nice, sophisticated PSO toolbox. The only flaw is it feels like the interface & documentation needs some attention - apparent defaults that did not seem to default as the documentation implies. A simple test crashed for no apparent reason. I noted that the documentation did not even tell you the correct name of the function used to drive the optimizer. Once you get past these minor points and learn how to drive it properly, I think this is a nice toolbox. I'd like to give it about a 3.75 rating.

[KHALED ABO-AL-EZ]

 

[shark spear]

I am wondering if this PSO can deal with discrete parameter optimization problems. Thanks a lot!

[John D'Errico]

I like the cleanup that was done, so I thought it was time to revisit this (nice, sophisticated) tool. Great graphics, at least where this is possible. If I want to complain about anything, its the fact that PSOt REQUIRES its function in the form of an m-file. Neither inline or anonymous functions are supported. Its a silly constraint, because my guess is the only reason is to include the function name on the generated graphics. Otherwise feval should be insensitive to these alternatives. The advantages that anonymous functions (especially) offer suggests fixing this. On the other hand, this is a really nice piece of work, so I'll raise my rating to a 5 anyway.

[Yuan Liguo]

Thanks,I downloaded it. It is helpful for me to learn PSO.

[Rafael Rodriguez]

 

[dana lak]

some democanbe added

[dan lak]

 

[dan lak]

good

[Omar Vicencio]

 

[safiye turgay]

 

[Ran Ren]

 

[weidong wu]

 

[sankar karan]

thanks

[ish kakkar]

it is very good and some more friendly can be made...

[aa ss]

66pll;

[jagdish bansal]

very good

[sachin soni]

it's an excellent toolbox for the researchers and university student. it is helping me alot in preparing my research paper and i hope that the other user's will also find it a boon to them.

[Ranjit singh chauhan]

Excellent tool.

[Dingyu Xue]

Nice code.
Is it possible to provide the non-vectorized version as well? thanks

[ali alizade]

hello.
please send for me

[lan FA]

thank you ,I need it for my project of ant model

[potter harryhfy]

i am a student of computer and technologe department.

[naser ganji]

i am a Ph.D. student in tarbiate modares university in tehran- iran.
i need it for some section of mine course projects.thanks

[Sirichai S]

I'm graduate student of Thammasat University, Thailand.
I need to support my study.
Thank a lot

[babak zarei]

 

[ehsan nasr]

 

[robert rino]

 

[trace water]

thank you the dear author!great work!

[Muhammad Shakil]

Does not work with matlab 2006a

[zhaojia Wang]

Thanks a lot:)

[li zhen]

Where can I find a matlab code to solve TSP by PSO?Is anyone konw?If you konw,please mail me,thx a lot.

[Huynh Chau Duy]

Documents and paper about Particle Swarm Optimization

[wu di]

 

[mm rezaei]

 

[Pragati Tiwary]

very vague description of how to use the toolbox. I am not able to run a simple optimization problem. Please try to come up with some illustrative and explanatory User manual.

[m saberan]

please add a perfect help to this file,because it is very hard to use it without help.i can not use trainpso for my problem.
thanks for your attention

[saleh mohseni]

 

[saleh mohseni]

 

[John Q]

Any idea how to use for training neural nets with custom non-differentiable cost functions?
Please help...

[lin si]

Great job!

[Mohammad Zakermoshfegh]

 

[toumi lyazid]

very happy

[morteza eslamian]

this program is very good

[elham asadi]

Where can I find a matlab code of discrete PSO or to solve TSP by PSO?Is anyone konw?If you konw,please mail me. Thanks a lot.

[Dhilip Kumaar]

Its very good to use this zip file. It helps me inlot to use PSO toolbox in MATLAB

[abdelwahhab Boudjellal]

i am etidient algerienne mgister can you help me by Matlab traitement image please
i d'nt space english good

[Dhilip Kumaar]

This tool is very nice to use. I have done certain works using this tool for Vehicle Routing Problem.

[nadda chawalarat]

 

[Maurice Clerc]

It would be interesting to implement the new version (Standard PSO 2007, available on the Particle Swarm Central http://www.particleswarm.info).

[sanny sihombing]

is there anyone know a research paper that explore PSO for Neural Network training, using this toolbox? please e-mail me about this, i really need it for studying. thanks!

[Ahmed Saleh]

This is good to apply pso in optimization problem

[sahbi boubaker]

good work

[sahbi boubaker]

there's someone who have worked with pso to optimize hybrid systems please mail me if...

[mat yusof]

 

[Lin Wang]

 

[Masoud Shariati]

 

[Masoud Shariati-Rad]

 

[asd adsf]

very good!I hope the new version can add local pso !

[thangjam singh]

inspiring

[necla OZKAYA]

 

[Gui Xiaolin]

ilike it very much!

[Kanwardeep Singh]

A Good Work

[Homri]

I want to use Trainpso but i have a probleme .
matlab error message "Unrecognized code".
Please can you help me

[Homri]

 

[skouliki katelouzos]

 

[skouliki katelouzos]

this doesn't work with version 5.1 of neural network

[Trish R]

I am a research student at the University of the West Indies.

A collegue of mine used trainpso and newff to train a neural network. He used Matlab version 5 and it worked well. I am using Matlab version 7.6.0 and neither trainpso nor newff works.

With this toolbox 'DemoPSOBehavior' and pso_Trelea_vectorized('f6',2) works with my Matlab version, but 'demoPSOnet' does not work. I get this root error :

??? Error using ==> trainpso at 124
Unrecognized code.

Is there any other way to train a Neural Network by PSO using this toolbox?

[jalla Upendar]

Hi friend,
I am a PhD Research Scholar in Indian Institute of Technology, Roorkee, India.
After working for 4 hours continuously, i am able to run train the Neural network program using this PSO toolbox.
I am vary thankful to you. Great job.
I can help, if anybody is in need of my help.

[Ali Sabbagh]

Dear jalla
would you please help me how it work?
i spend too much time to understand but i was not successfull
thank you

[Shree Guha]

I found this helpful. I had to modify the function to fit my problem description. I have a lot more to work on it. But i like it so far! Thanks again.

[Homri]

Hello,
Please who can help me for the choice of parameters trainpso
thank you

[vishal mehra]

hello
can anyone help me?
when i run the command at command window for testing the fn f6 i got the error as below.

out = pso_Trelea_vectorized('f6',2)
??? Undefined function or method 'normmat' for input arguments of type 'double'.

Error in ==> pso_Trelea_vectorized at 252
  pos(1:ps,1:D) = normmat(rand([ps,D]),VR',1);

can anyone tell me now what i have to do?

[saeed gol Golian]

hi everyone
I encountered with the same error as vishal mehra

?? Undefined function or method 'normmat' for input arguments of type 'double'.

Error in ==> pso_Trelea_vectorized at 252
  pos(1:ps,1:D) = normmat(rand([ps,D]),VR',1);

can anyone give me a hand?

[Eric]

Saeed and Vishal,
You need to manually add the subdirectories to your path, e.g. /hiddenutils and /testfunctions for the demo.

Anyway, I'm still learning how to use the PSO tool - so far so good! I'll come back with a rating once I've explored it further.

[tom]

Hi, everyone,
   I am interested in PSO with both linear and nonlinear constraints for high-dimention problem, but I found this package can not handle it.
   Is there any other PSO toolbox to handle the problems with nonlinear and linear constraints? Please let me know: [e-mail]. I am waiting for your reply.

   Thanks,
Tommy

[Mohammed Ahmed Saeed]

i prepare for my Master in optimal relay coordination and if you please i need your help to provide me with a swarm code to determine the optimal relay settings ( i can not do the fitness function for each particle )
Thanks