Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical Function Optimization

Algorithm 1

Pseudocode of the BA algorithm.

	Initialize the bat population and ;
Define pulse frequency , pulse rate and the loudness ;
while do
Generate new solutions by adjusting frequency, updating velocities and  positions using equations (1)–(3);
	if then
	Select a solution among the best solutions randomly;
	Generate a local solution around the selected best solution using equation (4);
	end if
	if then
	Accept the new solutions;
	Increase and reduce using equations (5) and (6);
	end if
	Rank the bats and find the current best ;
	;
	end while