IFFO: An Improved Fruit Fly Optimization Algorithm for Multiple Workflow Scheduling Minimizing Cost and Makespan in Cloud Computing Environments

Algorithm 1

IFFO–QoS optimization for multiple workflow scheduling.

(1)	Input: SSn, SPloc p = {SPloc 1, SPloc 2,SPloc 3,…., SPloc P} and Imax = {20-40} p {1, 2, 3, ……, P}
	//SSn= Swarn Size, SPloc = initial location of individual swarm particles and Imax = Maximum number of iteration
(2)	Output: Pareto optimal solution
	and
	//are existing solutions, ZCtMsis total cost & makespan of multiple workflows and Outminis expected QoS optimized solution
(3)
	//sfis scaling factor, and R is a randomized function
(4)	for Imax (t) ← 1 to T do
(5)
	//initial position of each swarm particle and=(0,1)
(6)
	//is distance between individual fruit fly and food, and is smell concentration
(7)	//for each individual fruit fly
(8)
(9)	Update swarm particles location
	9.1.
	9.2.
	9.3. Go to step 3.
(10)	End for