Research Article

An Improved Adaptive Human Learning Optimization Algorithm with Reasoning Learning

Table 6

The results of five AHLORLs on the 10-dimensional CEC 15 benchmarks.

FunMetricAHLORLAHLORL2AHLORL3AHLORL4AHLORL5

F1Best3.5098E + 051.4133E + 061.0411E + 068.4655E + 057.4393E + 05
Mean2.9313E + 066.1536E + 063.4012E + 063.4200E + 063.0466E + 06
Std1.5240E + 064.0321E + 061.7932E + 062.5401E + 061.2297E + 06
t-Test1000
W-test1000

F2Best1.0894E + 061.2545E + 077.6671E + 053.3620E + 052.1615E + 06
Mean2.5609E + 072.7935E + 082.0945E + 073.7516E + 073.0009E + 07
Std2.0518E + 073.2278E + 081.6985E + 072.8472E + 072.1323E + 07
t-Test1010
W-test1010

F3Best2.0015E + 012.0480E + 012.0051E + 012.0032E + 012.0095E + 01
Mean2.0088E + 012.0736E + 012.0194E + 012.0099E + 012.0248E + 01
Std4.4153E − 028.1513E − 028.3327E − 024.1915E − 029.7447E − 02
t-Test1101
W-test1111

F4Best1.6636E + 012.5367E + 011.7398E + 012.0935E + 011.9020E + 01
Mean3.5857E + 014.6908E + 013.7162E + 013.8234E + 013.7059E + 01
Std7.3883E + 001.0394E + 017.4725E + 007.8884E + 008.2516E + 00
t-Test1010
W-test1000

F5Best3.1978E + 027.7955E + 025.7000E + 024.4575E + 026.0766E + 02
Mean1.3751E + 031.8290E + 031.6460E + 031.5358E + 031.6217E + 03
Std4.0458E + 024.7633E + 023.7057E + 024.0991E + 023.7949E + 02
t-Test1111
W-test1111

F6Best5.9882E + 047.2691E + 046.3261E + 041.1807E + 053.9817E + 04
Mean4.0067E + 055.3018E + 054.5017E + 055.2750E + 054.9655E + 05
Std2.2508E + 054.4915E + 052.5779E + 053.9484E + 053.0791E + 05
t-Test1011
W-test1011

F7Best6.4758E + 006.9204E + 007.4183E + 007.5758E + 007.8512E + 00
Mean1.0124E + 011.2739E + 011.0199E + 011.0704E + 011.0105E + 01
Std1.3229E + 002.0361E + 001.1682E + 001.2033E + 001.1061E + 00
t-Test1010
W-test1010

F8Best9.5273E + 031.5489E + 041.7583E + 041.7795E + 046.1712E + 03
Mean1.0991E + 051.6202E + 051.1810E + 051.5987E + 051.1532E + 05
Std6.0527E + 049.5848E + 046.8404E + 048.8975E + 046.4274E + 04
t-Test1010
W-test1010

F9Best1.0244E + 021.0297E + 021.0250E + 021.0249E + 021.0237E + 02
Mean1.0288E + 021.0432E + 021.0295E + 021.0293E + 021.0294E + 02
Std2.1536E − 011.4430E + 001.9787E − 012.4404E − 012.0690E − 01
t-Test1101
W-test1101

F10Best8.0989E + 033.1026E + 042.3093E + 041.4837E + 041.6642E + 04
Mean1.5791E + 052.2310E + 051.8441E + 052.3865E + 051.6185E + 05
Std9.7338E + 041.5798E + 059.7905E + 041.4587E + 059.0725E + 04
t-Test1010
W-test1010

F11Best3.0624E + 023.0737E + 023.1190E + 023.0621E + 023.0970E + 02
Mean3.2617E + 026.0056E + 023.3005E + 023.5009E + 023.3688E + 02
Std3.8006E + 011.6202E + 022.5714E + 018.5204E + 013.6888E + 01
t-Test1010
W-test1101

F12Best1.0417E + 021.0500E + 021.0407E + 021.0426E + 021.0442E + 02
Mean1.0555E + 021.0679E + 021.0578E + 021.0556E + 021.0578E + 02
Std5.3918E − 017.4995E − 015.4516E − 015.2658E − 015.5395E − 01
t-Test1101
W-test1101

F13Best7.5673E + 018.4114E + 017.8988E + 017.9979E + 018.0951E + 01
Mean9.1145E + 019.9983E + 019.3561E + 019.1643E + 019.5014E + 01
Std6.8232E + 005.5460E + 005.6323E + 005.3644E + 004.8753E + 00
t-Test1101
W-test1101

F14Best3.1272E + 043.1326E + 043.1176E + 043.1297E + 043.1460E + 04
Mean3.2927E + 043.3531E + 043.2934E + 043.2993E + 043.2947E + 04
Std8.3761E + 021.1279E + 038.0199E + 027.9269E + 027.1843E + 02
t-Test1000
W-test1000

F15Best1.0182E + 021.0434E + 021.0234E + 021.0121E + 021.0222E + 02
Mean1.0562E + 021.1068E + 021.0591E + 021.0579E + 021.0615E + 02
Std1.3104E + 004.2595E + 001.3376E + 001.6978E + 001.4430E + 00
t-Test1001
W-test1001