A Species Conservation-Based Particle Swarm Optimization with Local Search for Dynamic Optimization Problems

Algorithm 1

Pseudocode of the canonical PSO algorithm.

(1)	Randomly initialize particles of population within the problem’s search space;
(2)	Evaluate each individual in ;
(3)	for eachdo
(4)	;
(5)	end for
(6)	Find the global best particle ;
(7)	while termination condition is not reached do
(8)	Apply equation (2) to update each particle’s velocity;
(9)	Apply equation (3) to update each particle’s location;
(10)	Calculate the fitness value of ;
(11)	if is better than
(12)	;
(13)	end if
(14)	if is better than
(15)	;
(16)	end if
(17)	end while