Artificial Intelligence Based Customer Churn Prediction Model for Business Markets

Algorithm 1

	Parameter Initialization: Maximum iteration count , upper limit and lower limit , population size , dimension count and fitness function .
	Arbitrary initialization of salp location equivalent to and , where and .
	Set . {Counter initialization}.
	repeat
	Determine the fitness function of every salp location .
	Consider the best salp location to
	Upgrade
	Attain the chaotic map value
	Update
	for do
	if i==1 then
	Upgrade the location of the leading salp
	else
	Upgrade the location of the follower salp
	end if
	Upgrade the salp location
	end for
	Verify the possibility of
	Determine new salp location
	if is superior to then
	Upgrade the location of the optimal salp
	end if
	Set .
	Tiil (). {Termination criteria satisfied}.
	Generate optimal salp location .