Application of Improved Manta Ray Foraging Optimization Algorithm in Coverage Optimization of Wireless Sensor Networks

Table 1

Test function information.

No.	Function name	Function formula	D	Range	Optimum
F1	Bent cigar	F1(x) =	50/500	[−100, 100]	0
F2	Sum of different power	F2(x) =	50/500	[−100, 100]	0
F3	Zakharov	F3(x) =	50/500	[−100, 100]	0
F4	High conditioned	F4(x) =	50/500	[−100, 100]	0
F5	Griewank’s	F5(x) =	50/500	[−100, 100]	0
F6	Rastrigin	F6(x) =	50/500	[−100, 100]	0
F7	Expanded Schaffer’s	F7(x) =
		y(u, ) =	50/500	[−100, 100]	0
F8	Noncontinuous rotated Rastrigin’s	F8(x) =  yi =	50/500	[−100, 100]	0
F9	Rosenbrock’s	F9(x) =	50/500	[−100, 100]	0
F10	Discus	F10(x) =	50/500	[−100, 100]	0
F11	Ackley	F11(x) =	50/500	[−100, 100]	0
F12	Schaffer’s F7	F12(x) =	50/500	[−100, 100]	0
F13	Foxholes	F13(x) =	2	[−65, 65]	1
F14	Schkel	F14(x) =	4	[0, 10]	−10.5363
F15	Six-hump camel	F15(x) =	2	[−5, 5]	−1.0316