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. 2021 Jan 3;53(1):459–515. doi: 10.1007/s11063-020-10380-y

Table 2.

Different artificially generated functions using Uniform noise and Gaussian noise with their definition and domain of definition

Function name Function definition Domain of definition Noise Type

Function1

Function2

f(x)=4|x1|+2+cos(2x1)+sin(3x1)+Θ x1[-10,10]

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.12)

Function3

Function4

f(x1,x2,x3,x4,x5)=0.79+1.27x1x2+1.56x1x4+3.42x2x5+2.06x3x4x5+Θ

xi[0,1]

i\{ 1,2,3,4,5\}

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.12)

Function5

Function6

f(x1,x2)=42.659(0.1+ x1(0.05+ x14- 10x12x22+ 5x24))+Θ x1,x2[-0.5,0.5]

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.12)

Function7

Function8

f(x1,x2,x3,x4,x5)=10sinπx1x2+ 20(x3-0.5)2+ 10x4+ 5x5+Θ

xi[0,1]

i=1,2,3,4,5

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.12)

Function9

Function10

f(x1)=4|x1|+2+cos(2x1)+sin(3x1)+Θ x1[-10,10]

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.22)

Function11

Function12

f(x1,x2)=1.3356exp3x2-0.5sin4πx2-0.9+1.51-x1+1.51-x1+exp2x1-1sin3πx1-0.6x1-0.6+Θ

xi[0,1]

i\{ 1,2\}

Type A:ΘU(-0.2,0.2)

Type B:ΘN(0,0.22)

Function13

Function14

f(x1)=10.32πexp-x1-2x1-2/20.32+11.22πexp-x1-7x1-7/21.22+Θ x1[0,10]

Type A:ΘU(-0.5,0.5)

Type B:ΘN(0,0.12)

Function15

Function16

f1(x)=sin(x)x such that yi=f1(xi)+0.5-|xi|8πΘi xiU(-4π,4π),i=1,2,,200

Type A: ΘU(-1,1)

Type B: ΘN(0,0.52)

Function17

Function18

f(x)=x + 2exp( - 16x2)

such that yi=f(xi)+ (xi+0.5)Θi

xi=0.01(i - 1) - 1,

i=1,2,,200

Type A: ΘU(-1,1)

Type B: ΘN(0,0.52)