Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification

Algorithm 4

EHBCS algorithm.

Input: labelled dataset , Maxiter , CS parameters value, number of nests , number of dimensions (features)

Output:

fordo

  randomly generate a binary 0-1 string;

Train the classifier to evaluate accuracy of ;

Calculate the fitness function value and store it in ;

end

;

;

;

while or (stop criterion)do

 fordo

  fordo

newnest generated by formula (14)–(17) and store it in ;

 end

end

A new population with n members of and ;

Train the classifier to evaluate accuracy of ;

Calculate the fitness function value and store it in ;

fordo

if () then

 ;

 ;

 end

end

Generate new population after elite selection and crossover;

Train the classifier to evaluate accuracy of ;

Calculate the fitness function value and store it in ;

;

;

;

end