SiFSO: Fish Swarm Optimization-Based Technique for Efficient Community Detection in Complex Networks

Algorithm 1

Sigmoid Fish Swarm Optimization (SiFSO) algorithm.

Fish movement:
	Input: Visual Range, Visual Decrease, Minimum Visual Range, Pixels Iteration Number, Step, Step Decrease, Minimum Step, Try Number, Factor, Fish coordinates
Output: Each solution corresponds to a partition of a network.
(1)	Begin Algorithm
(2)	Min–Max Normalization
(3)	Label Propagation Initialization
(4)	for iterations ⟵ 1 to iteration number do
(5)	for FishNo ⟵ 1 to total Fish do
(6)	current Fish neighbors ⟵ 0
(7)	current Fish neighbors ⟵ Fish in visual range
(8)	if neighbors = 0
(9)	next move ⟵ Sigmoid (Free Move)
(10)	Break, go to step-1
(11)	else
(12)	If density > crowed factor and better food consistency
(13)	Next move ⟵ Sigmoid (Prey Move)
(14)	else
(15)	Next Move ⟵ Random (Sigmoid (Swarm Move or Follow Move))
(16)	end
(17)	end
(18)	final result ⟶ apply modularity
(19)	End Algorithm