Cluster-Based Multiobjective Particle Swarm Optimization and Application for Chemical Plants

Algorithm 1

Cluster-based multiobjective particle swarm optimization.

	/Initialize the population/
(1)	Initialize
(2)	for to
(3)	Randomly generate particle within the search space
(4)	Set velocity
(5)	Evaluate
(6)	Determine feasibility by (11)
(7)	Set personal-best
(8)	end for
(9)	Initialize external archive by Algorithm 2
	/Update the population/
(10)	while
(11)	set
(12)	for to
(13)	Select global-best for th particle by (10)
(14)	Update velocity and position by (5) and (6)
(15)	Evaluate
(16)	Determine feasibility by (11)
(17)	Update personal-best by (7)
(18)	end for
(19)	Update external archive by Algorithm 2
(20)	end while
(21)	Return external archive