Dear Alireza,

you can define binary coefficients for your input vectors (features). The artificial bee colony algorithm defines which coefficient are ones and which are zeros using your cost function which is usually Root mean square error (RSME) . In case you use Matlab, Faradars tutorials explain it using Matlab codes.

Regards,

ABC algorithm you can use it for clustering or classification.

regards,

Yes.

According to the 'no-free lunch theorem' any algorithm may also work if properly engineered.

regards,

Bala

Dear Hamzeh,

In my opinion, the problem of using intelligent methods like ABC, GA, Ant colony is the high time complexity of the fitness function. In many literature, the dependency are employed as the fitness function, which will be O(|U|^2).

Therefore, these method will still slow.

Regards

Dear Ke Gong

Thanks for your explanation

Dear Ashwan Abdulmunem

Can it be used for feature selection?

Dear Cyrus Ahmadi Toussi

Thanks for the advice but which Faradars tutorials ?

Alireza Hamzeh

GA feature selection. the procedure is quite similar, then you can change GA with your ABC algorithm.

Cyrus Ahmadi Toussi

Thanks