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

Algorithm 3

Elite selection and crossover operators.

Input: population with nests, number of dimensions (features) , crossover rate , fitness function

Output: New population after elite selection and crossover

fordo

 p()=, ;

fordo

 Generate a random number from [0,1];

 if () then

 Select the ;

else

 ifthen

 Select the ;

   end

  end

 end

end

Train the classifier to evaluate accuracy of ;

Calculate the fitness function value and store it in ;

;

;

;

Two nests in the population are paired at random for each pair except , such as and

if () then

Generate a random integer r in (1,d) with one-point crossover between two individuals ;

;

end

The crossed nests and Bestness form a new population as output