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Table 3 Performance for BP-QUATRE, PSO-IW, and DE algorithms

From: A bi-population QUasi-Affine TRansformation Evolution algorithm for global optimization and its application to dynamic deployment in wireless sensor networks

30D

PSO-IW

DE/best/1/bin

BP-QUATRE

Best

Mean

Std

Best

Mean

Std

Best

Mean

Std

1

1.8516E-02

2.0880E+ 03

2.3796E+ 03

2.2737E-13

2.2737E-13

0.0000E+ 00

0.0000E+ 00

5.9117E-14

1.0075E-13

2

9.2004E+ 05

2.9077E+ 07

4.8633E+ 07

1.4886E+ 07

2.6850E+ 07

7.1628E+ 06

8.0342E+ 04

3.2499E+ 05

1.8932E+ 05

3

7.5454E+ 08

9.3345E+ 10

1.8679E+ 11

1.8850E+ 08

6.7124E+ 08

2.5438E+ 08

4.0302E-05

6.8721E+ 05

2.9931E+ 06

4

1.4853E+ 03

5.8973E+ 03

5.1338E+ 03

2.3767E+ 04

3.7255E+ 04

6.3675E+ 03

6.7090E+ 00

3.8516E+ 01

2.5066E+ 01

5

8.1621E-01

1.2112E+ 03

1.2376E+ 03

1.1369E-13

1.3642E-13

4.5936E-14

0.0000E+ 00

1.1369E-13

2.2968E-14

6

3.8139E+ 01

2.4618E+ 02

2.6320E+ 02

1.6157E+ 01

2.4642E+ 01

1.1567E+ 01

4.5328E-03

1.0260E+ 01

8.0606E+ 00

7

7.4531E+ 01

2.3039E+ 02

1.4010E+ 02

4.5255E+ 01

5.8459E+ 01

7.7884E+ 00

7.2738E-02

4.9636E+ 00

3.9591E+ 00

8

2.0758E+ 01

2.0918E+ 01

5.8419E-02

2.0778E+ 01

2.0945E+ 01

4.7712E-02

2.0827E+ 01

2.0953E+ 01

4.7373E-02

9

2.2437E+ 01

2.9920E+ 01

3.3769E+ 00

2.3097E+ 01

2.9119E+ 01

1.8981E+ 00

9.7462E+ 00

2.2635E+ 01

5.7088E+ 00

10

1.4411E+ 00

5.7765E+ 02

4.3368E+ 02

6.7846E+ 00

1.5520E+ 01

4.3221E+ 00

7.3960E-03

2.0791E-02

1.1579E-02

11

7.2539E+ 01

1.6044E+ 02

3.8346E+ 01

5.6843E-14

6.9647E-01

1.0101E+ 00

1.7053E-13

4.4972E+ 00

1.8006E+ 00

12

9.8398E+ 01

1.8126E+ 02

6.7573E+ 01

1.1538E+ 02

1.5072E+ 02

1.5277E+ 01

1.9899E+ 01

5.3234E+ 01

1.5281E+ 01

13

1.5549E+ 02

2.4254E+ 02

4.7152E+ 01

1.2579E+ 02

1.6918E+ 02

1.3208E+ 01

5.8213E+ 01

1.0634E+ 02

2.4064E+ 01

14

2.1910E+ 03

3.6743E+ 03

8.1801E+ 02

1.3049E+ 00

2.6590E+ 01

5.0098E+ 01

1.0878E+ 01

1.9290E+ 02

1.2680E+ 02

15

3.0712E+ 03

4.6861E+ 03

8.3189E+ 02

5.1246E+ 03

6.1285E+ 03

3.9430E+ 02

2.7376E+ 03

4.0668E+ 03

5.3740E+ 02

16

5.2554E-01

1.2755E+ 00

3.6444E-01

1.5328E+ 00

2.3124E+ 00

3.2555E-01

9.4808E-01

1.8071E+ 00

4.0821E-01

17

1.1866E+ 02

1.7987E+ 02

3.7182E+ 01

2.6033E+ 01

3.1227E+ 01

9.1319E-01

1.7609E+ 00

3.0571E+ 01

7.3126E+ 00

18

1.1506E+ 02

1.6382E+ 02

2.8799E+ 01

1.9757E+ 02

2.2046E+ 02

1.1380E+ 01

5.2189E+ 01

1.0584E+ 02

2.3166E+ 01

19

6.9242E+ 00

2.8457E+ 03

6.4680E+ 03

2.7883E+ 00

3.8670E+ 00

3.9209E-01

1.0161E+ 00

1.7223E+ 00

3.4349E-01

20

1.0638E+ 01

1.2595E+ 01

7.4314E-01

1.2114E+ 01

1.2813E+ 01

2.5585E-01

1.0035E+ 01

1.1254E+ 01

4.9221E-01

21

2.0438E+ 02

3.9378E+ 02

1.9091E+ 02

2.0000E+ 02

2.9010E+ 02

7.6842E+ 01

2.0000E+ 02

3.0271E+ 02

8.2769E+ 01

22

2.4780E+ 03

3.8977E+ 03

7.9507E+ 02

1.1651E+ 02

2.5046E+ 02

1.8276E+ 02

6.2475E+ 01

2.4699E+ 02

1.0913E+ 02

23

2.9470E+ 03

5.0143E+ 03

9.3015E+ 02

5.5175E+ 03

6.5088E+ 03

4.1567E+ 02

2.6820E+ 03

4.0320E+ 03

7.2841E+ 02

24

2.8274E+ 02

2.9936E+ 02

1.0622E+ 01

2.5730E+ 02

2.7222E+ 02

6.3487E+ 00

2.0020E+ 02

2.3468E+ 02

1.6071E+ 01

25

2.8413E+ 02

3.0698E+ 02

9.4788E+ 00

2.7937E+ 02

2.8866E+ 02

4.6272E+ 00

2.4144E+ 02

2.5694E+ 02

1.2474E+ 01

26

2.0007E+ 02

3.6095E+ 02

5.3876E+ 01

2.0112E+ 02

2.0202E+ 02

5.0229E-01

2.0001E+ 02

2.1684E+ 02

4.6111E+ 01

27

1.0119E+ 03

1.1676E+ 03

7.9394E+ 01

9.4887E+ 02

1.0521E+ 03

4.0959E+ 01

4.1966E+ 02

7.5219E+ 02

1.5375E+ 02

28

1.1640E+ 02

1.9266E+ 03

7.1657E+ 02

3.0000E+ 02

3.2379E+ 02

1.6825E+ 02

3.0000E+ 02

3.0000E+ 02

2.9792E-13

win

3

2

0

2

4

17

22

22

11

lose

25

26

28

25

24

11

5

6

17

draw

0

0

0

1

0

0

1

0

0