A New Initialization Approach in Particle Swarm Optimization for Global Optimization Problems

Algorithm 4

Proposed PSO pseudocode.

	Step 1: initialize the swarm
	Set epoch count , population size , dimension of the problem , and
	For each particle
	Step 1.1: initialize as
	Step 1.2: initialize the particle velocity as,
	Step 1.3: compute the fitness score
	Step 1.4: set global best position as ) where
	Step 1.5: set local best position as ) where
	Step 2:
	Compare the current particle’s fitness score in the swarm and its old local best location . If the current fitness score is greater than , then substitute , with ; else retain the unchanged
	Step 3:
	Compare the current particle’s fitness score in the swarm and its old global best location . If the current fitness score is greater than , then substitute , with ; else retain the unchanged
	Step 4:
	Using equation (1), compute ⟶ updated velocity vector
	Using equation (2), compute ⟶ updated position vector
	Step 5:
	Go to step 2, if the stopping criteria does not met, else terminate.