A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Algorithm 2

k-means.

Input: number of clusters ,
Data points
Output: cluster centroids
(1)	cluster centroids are randomly initialized
(2)	While termination criterion is not satisfied do
(3)	For do
(4)	assign the nearest cluster centroid ID to
(5)	end
(6)	For do
(7)	update by calculating the mean of data points in the -th cluster
(8)	end
(9)	end
(10)	Return