Edge Server Placement for Service Offloading in Internet of Things

Algorithm 2

Optimizing edge server layout strategy based on GA.

	Inputs: K chromosomes, Number of iterations T, variable t, the number of chromosomes to operate k
	Output: K chromosomes after GA iteration optimization
(1)	for t = 0 to T do
(2)	if t == 0 then
(3)	Initialize K chromosomes
(4)	else
(5)	Compute the fitness of K chromosomes and select k chromosomes with lower fitness
(6)	Record the chromosome with the lowest fitness
(7)	Select two chromosomes randomly and perform crossover operations
(8)	Select two chromosomes randomly and perform mutation operations
(9)	end if
(10)	end for
(11)	return K chromosomes