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. 2019 Jun 2;2019:6871298. doi: 10.1155/2019/6871298

Table 1.

Benchmark functions for single-objective problem optimization.

Function Dimension Range
F1(x)=∑i=1nxi2 10 [−100, 100]
F2(x)=∑i=1n|xi|+∏i=1n|xi| 10 [−10, 10]
F3x=i=1nJ1I˙XJ2 10 [−100, 100]
F4(x)=maxi{|xi|, 1 ≤ in} 10 [−100, 100]
F5(x)=∑i=1n−1[100(xi+1xi2)2+(xi − 1)2] 10 [−30, 30]
F6(x)=∑i=1n([xi+0.5])2 10 [−100, 100]
F7x=I˙=1nixi4+random0,1 10 [−1.28, 1.28]
F8x=i=1nxisinxi 10 [−500, 500]
F9(x)=∑i=0n[xi2 − 10 cos(2πxi)+10] 10 [−5.12, 5.12]
F10x=20exp0.21/ni=1nxi2exp1/ni=1ncos2πxi+20+e 10 [−32, 32]
F11x=1/4000i=1nxi2i=1ncosxi/i+1 10 [−600, 600]
F12x=π/n10sinπy1+i=1n1yi121+10sin2πyi+1+yn12+i=1nuxi,10,100,4yi=xi+1/4uxi,a,k,m=kxiamxi>a0a<xi<akxiamxi<a 10 [−50, 50]
F13(x)=0.1{sin2(3πx1)+∑i=1n(xi − 1)2[1+sin2(3πxi+1)]+(xn − 1)2[1+sin2(2πxn)]}+∑i=1nu(xi, 5,100,4) 10 [−50, 50]
F14(x)=∑i=1nxi2 10 [−5, 5]
F15x=i=1nxi2/4000i2i=1ncosxi/i+1 10 [−5, 5]