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Table 2 Performance for BP-QUATRE, QUATRE/target-to-best/1, and QUATRE/best/1

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

30D QUATRE/target-to-best/1 QUATRE/best/1 BP-QUATRE
Best Mean Std Best Mean Std Best Mean Std
1 0.0000E+ 00 4.5475E-15 3.2155E-14 0.0000E+ 00 2.2737E-14 6.8905E-14 0.0000E+ 00 5.9117E-14 1.0075E-13
2 3.4918E+ 04 2.0307E+ 05 9.1401E+ 04 6.5779E+ 04 3.2526E+ 05 1.7428E+ 05 8.0342E+ 04 3.2499E+ 05 1.8932E+ 05
3 3.3344E-08 1.2152E+ 04 4.2407E+ 04 6.4313E-02 1.1505E+ 06 3.0040E+ 06 4.0302E-05 6.8721E+ 05 2.9931E+ 06
4 1.3712E+ 00 9.6559E+ 00 7.2335E+ 00 4.1346E+ 00 2.1215E+ 01 1.5656E+ 01 6.7090E+ 00 3.8516E+ 01 2.5066E+ 01
5 0.0000E+ 00 1.0914E-13 2.2504E-14 0.0000E+ 00 1.0914E-13 2.2504E-14 0.0000E+ 00 1.1369E-13 2.2968E-14
6 2.8398E-09 1.8153E+ 00 6.2792E+ 00 2.9877E-04 7.3092E+ 00 1.0870E+ 01 4.5328E-03 1.0260E+ 01 8.0606E+ 00
7 1.9057E-01 3.8445E+ 00 4.0489E+ 00 1.1364E+ 00 2.1349E+ 01 1.7591E+ 01 7.2738E-02 4.9636E+ 00 3.9591E+ 00
8 2.0749E+ 01 2.0933E+ 01 5.1788E-02 2.0849E+ 01 2.1004E+ 01 5.8828E-02 2.0827E+ 01 2.0953E+ 01 4.7373E-02
9 1.0130E+ 01 2.6120E+ 01 6.0410E+ 00 5.8076E+ 00 1.6079E+ 01 5.5873E+ 00 9.7462E+ 00 2.2635E+ 01 5.7088E+ 00
10 5.6843E-14 2.7047E-02 1.5235E-02 0.0000E+ 00 2.3154E-02 1.5496E-02 7.3960E-03 2.0791E-02 1.1579E-02
11 2.3082E+ 01 2.7925E+ 01 2.5361E+ 00 1.3929E+ 01 2.6411E+ 01 8.3326E+ 00 1.7053E-13 4.4972E+ 00 1.8006E+ 00
12 9.0630E+ 01 1.1724E+ 02 1.3886E+ 01 3.9359E+ 01 7.5733E+ 01 1.8919E+ 01 1.9899E+ 01 5.3234E+ 01 1.5281E+ 01
13 1.0132E+ 02 1.3263E+ 02 1.5255E+ 01 5.2197E+ 01 1.1252E+ 02 3.2964E+ 01 5.8213E+ 01 1.0634E+ 02 2.4064E+ 01
14 9.9796E+ 02 1.3914E+ 03 1.9533E+ 02 1.0081E+ 02 8.1082E+ 02 2.6067E+ 02 1.0878E+ 01 1.9290E+ 02 1.2680E+ 02
15 5.3901E+ 03 6.3005E+ 03 3.4954E+ 02 3.3512E+ 03 5.1268E+ 03 7.7891E+ 02 2.7376E+ 03 4.0668E+ 03 5.3740E+ 02
16 1.8510E+ 00 2.3565E+ 00 2.4224E-01 1.3247E+ 00 2.4246E+ 00 4.5226E-01 9.4808E-01 1.8071E+ 00 4.0821E-01
17 5.5094E+ 01 6.1017E+ 01 2.5301E+ 00 2.1370E+ 01 5.5165E+ 01 1.1812E+ 01 1.7609E+ 00 3.0571E+ 01 7.3126E+ 00
18 1.6116E+ 02 1.8968E+ 02 9.6887E+ 00 1.0816E+ 02 1.6029E+ 02 2.5169E+ 01 5.2189E+ 01 1.0584E+ 02 2.3166E+ 01
19 2.7404E+ 00 4.6348E+ 00 4.7267E-01 1.6863E+ 00 3.6567E+ 00 7.7921E-01 1.0161E+ 00 1.7223E+ 00 3.4349E-01
20 1.0903E+ 01 1.1871E+ 01 3.6616E-01 1.0342E+ 01 1.2062E+ 01 6.4629E-01 1.0035E+ 01 1.1254E+ 01 4.9221E-01
21 2.0000E+ 02 3.0384E+ 02 7.7553E+ 01 2.0000E+ 02 3.1932E+ 02 8.3201E+ 01 2.0000E+ 02 3.0271E+ 02 8.2769E+ 01
22 1.0740E+ 03 1.4937E+ 03 1.9286E+ 02 4.5570E+ 02 8.3787E+ 02 2.5055E+ 02 6.2475E+ 01 2.4699E+ 02 1.0913E+ 02
23 4.5981E+ 03 6.0880E+ 03 5.3171E+ 02 3.7200E+ 03 5.3213E+ 03 8.4120E+ 02 2.6820E+ 03 4.0320E+ 03 7.2841E+ 02
24 2.0017E+ 02 2.1733E+ 02 1.4867E+ 01 2.1116E+ 02 2.3769E+ 02 1.1610E+ 01 2.0020E+ 02 2.3468E+ 02 1.6071E+ 01
25 2.3653E+ 02 2.5235E+ 02 8.2988E+ 00 2.4178E+ 02 2.5758E+ 02 8.0331E+ 00 2.4144E+ 02 2.5694E+ 02 1.2474E+ 01
26 2.0001E+ 02 2.4606E+ 02 6.6115E+ 01 2.0001E+ 02 2.4558E+ 02 6.4221E+ 01 2.0001E+ 02 2.1684E+ 02 4.6111E+ 01
27 3.2346E+ 02 6.1723E+ 02 1.7389E+ 02 5.5559E+ 02 6.9637E+ 02 9.3585E+ 01 4.1966E+ 02 7.5219E+ 02 1.5375E+ 02
28 1.0000E+ 02 3.5818E+ 02 2.5128E+ 02 1.0000E+ 02 3.7948E+ 02 2.8873E+ 02 3.0000E+ 02 3.0000E+ 02 2.9792E-13
win 9 10 14 3 1 4 12 16 9
lose 15 17 13 21 26 23 13 12 19
draw 4 1 1 4 1 1 3 0 0