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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