A Decomposition-Based Harmony Search Algorithm for Multimodal Multiobjective Optimization

Algorithm 2

Reproduction.

	Input: archive EXA, individual , algorithm parameters: ,, , , the maximum number of evaluation functions MaxFES, the current number of evaluation functions FES, decision variable dimension n.
	Output: an offspring .
(1)	Update the parameters , , and using equations (2)–(4)
(2)	Select the nearest individuals to in EXA and put them into
(3)	for j = 1:n do
(4)	if , then
(5)
(6)	if , then
(5)
(7)	end if
(8)	else
(9)	;
(10)	end if
(11)	end for
(12)	;