A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems

Algorithm 1

The framework of the multiswarm intelligence algorithm.

	Initialization Process of the Multiswarm Intelligence Algorithm
(1)	: number of Swarms/size of the population set;
(2)	: number of decision variables or dimension of the search space;
(3)	: lower bound of the search space;
(4)	: upper bound of the search space;
(5)	: maximum number of generations;
(6)	: generation counter;
(7)	,
(8)	Evaluate the initial Population,
(9)	Select solution among solutions based on their minimum objective function value.
	Evolutionary Process of Multi-Swarm Intelligence Based Algorithm
(10)	= 1;
(11)	whiledo
(12)	fordo
(13)	ifthen
(14)
(15)
(16)
(17)	else
(18)
(19)
(20)
(21)
(22)	end if
(23)	Evaluation the offspring Population,
(24)	ifthen
(25)
(26)	else
(27)
(28)	end if
(29)	Update for next generation of population evolution.
(30)	end for
(31)
(32)	end while