Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach

Algorithm 3

Hybrid ant colony and BAT algorithm (HACO-BA).

	Initialize and evaluate solution archive
	Begin
	For a given objective function: Obj, where i = (1, …, n)
	Initialize the BAT population with the corresponding attributes: velocity , position and pulse frequency
	Initialization features include loudness , maximum number of iterations and acceleration rate
	Repeat step 4 to 15 for every iteration in
	Repeat step 5 to 13 for every single BAT corresponding to
	Evaluate equations (1)–(3) to produce a new solutions set
	if (random ) then
	Generate a local solution around one of the chosen best solutions
	end if
	if (random ) (fitness()) then
	Update and
	Increase and reduce (equations (3) and (6))
	end if
	Rank the BATs and find the GlobalBest
	Update archive
	Optionally apply local search
	Optionally Expand archive
	Optionally Restart archive
	Until termination criteria are satisfied
	End = 0