A Modified Bat Algorithm for Solving Large-Scale Bound Constrained Global Optimization Problems

Algorithm 1

Algorithm 1: Framework of the proposed modified Bat algorithm.

(1)	: population size;
(2)	: number of decision variables
(3)	: maximum Iteration.
(4)	: random number, : maximum Iteration.
(5)	Initialize bat the population ,
(6)	Compute , ,
(7)	Find the current best
(8)
(9)	while it ≤ Mitdo
(10)	Generate new solution by flying randomly.
(11)
(12)
(13)
(14)
(15)
(16)	Compute the objective function value,
(17)	ifthen
(18)	Accept .
(19)	else
(20)	Retain
(21)	end if
(22)	Update current best solution denoted by .
(23)	Move the bats around current best solution randomly.
(24)
(25)	Repeating steps 11 to 15 and update the global best solution.
(26)	;
(27)	end while