An Efficient Hybrid Optimization Approach Using Adaptive Elitist Differential Evolution and Spherical Quadratic Steepest Descent and Its Application for Clustering

Algorithm 1

Given the function and its domain , this algorithm finds the such that .

	INPUT: and its domain , convergence criteria , and step limit d > 0
	Initialize a starting point , randomly
	Compute , , k := 1
	REPEAT
	IF
	ENDIF
	IF
	Stop the algorithm
	ENDIF
	Set
	IF
	ENDIF
	k: = k + 1
	UNTIL
	OUTPUT: and