Is there any tool for classification which are based on swarm intelligence like ACO, PSO, GA, Firefly etc.
Thanks in advance.
Maybe other scientists know tools for supervised learning, like PSO.
But if you could use alternatively a tool for unsupervised learning, we are currently working on a Toolbox in R for swarm based clustering and visualization of high dimensional data, see
Article Self Organized Swarms for cluster preserving Projections of ...
You may be searching for the Rough sets theory (RST). really the classical RST don't depend on search techniques but recently many researches were done to use the search techniques for finding the best minimal subset before classifying the data using the rough set.
Thans All for Reply.... My Query is regarding Open source tool for classification which is based on Swarm intelligence...
Hi,
You can use RapidMiner which has several evolutionary tools for classification, and its core is open source.
Hi,
You may want to try WEKA. I'm not sure if there is any Swarm intelligent-based classifiers in it, I know it has GA and many other classifiers and also clustering algorithms.
Hi there
You can try these:
http://sourceforge.net/projects/myra/ - ACO and c-ANT implementations
Particle Swarm Optimization is frequently used as a feature selector, which can lead to useful solutions post feature-selection
hi
you try for matlab codes.... that is worth learning...
you will get good results too..very very fast results....
jkust learn the codses/...
All swarm intelligent algorithms (like ACO, PSO, Bees algorithms, fish algorithm, monkey algorithm, cat algorithm, conile algorithm, creative algorithm, and so on so far) can be used as a helpful tools for the classifier which I mean to help the classifier to get best classification accuracy, but if you want to use swarm intelligent algorithms as a classifier, there is only ant minor algorithm work as a classifier and it is based on ACO which is consider as a one of swarm intelligent algorithm.
I want to know what features is input into ACO algorithm? I mean that other papers explain that they use features which are meta tag, url, tagging term and bag of term. I want to use bag of words to use in classification. So I want to need deeply explanation ACO algorithm for text classification step by step or example if u have reference. I search google and other site, they give me TSP problem so I don't clearly understand. Help me please. Thank you all..
Codes for PSO
https://www.researchgate.net/publication/296636431_Codes_in_MATLAB_for_Particle_Swarm_Optimization?ev=prf_pub
https://www.researchgate.net/publication/280244004_A_comparative_study_of_metaheuristic_optimization_approaches_for_directional_overcurrent_relays_coordination?ev=prf_pub
Code Codes in MATLAB for Particle Swarm Optimization
Article A comparative study of metaheuristic optimization approaches...
Kindly, go through the following publication.
Y. del Valle, G. Venayagamoorthy, S. Mohagheghi, J.-C. Hernandez, R. Harley, Particle swarm optimization: Basic concepts, variants and applications in power systems, IEEE Transactions on Evolutionary Computation, 12 (2) (2008) 171-195.
I hope it will be very helpful to you.
Regards,
M.N.Alam
https://www.researchgate.net/publication/297245624_Particle_Swarm_Optimization_Algorithm_and_its_Codes_in_MATLAB
Research Particle Swarm Optimization: Algorithm and its Codes in MATLAB
- Badges
- Science topic
- Similar topics
- Data Mining
- Classification