Research Article

An Improved Adaptive Human Learning Optimization Algorithm with Reasoning Learning

Table 5

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

FunMetricAHLORLAHLORL2AHLORL3AHLORL4AHLORL5

F1Best7.0185E + 031.6356E + 041.6287E + 047.4843E + 035.0977E + 03
Mean1.4321E + 053.1414E + 051.7902E + 051.7662E + 051.9387E + 05
Std1.3145E + 052.7232E + 051.3685E + 051.7698E + 051.5487E + 05
t-Test1101
W-test1111

F2Best1.4326E + 036.8963E + 031.3610E + 032.2374E + 031.3546E + 03
Mean8.4642E + 055.9482E + 061.0999E + 061.6162E + 067.0918E + 05
Std1.9368E + 067.3543E + 062.5008E + 063.3453E + 068.7764E + 05
t-Test1010
W-test1000

F3Best2.5798E + 002.9440E + 002.0660E + 008.2877E + 003.4195E + 00
Mean1.8580E + 011.8803E + 011.8114E + 011.9799E + 011.8904E + 01
Std4.3836E + 004.1082E + 005.0023E + 001.4746E + 003.7793E + 00
t-Test0010
W-test1011

F4Best5.5808E − 013.0217E + 002.0195E + 001.1184E + 001.3070E + 00
Mean4.4647E + 005.8591E + 004.8625E + 004.7293E + 005.1812E + 00
Std1.4911E + 001.5632E + 001.6063E + 001.3735E + 001.7328E + 00
t-Test1001
W-test1001

F5Best2.5876E + 005.5531E + 006.7090E − 011.7313E + 008.0449E + 00
Mean5.7225E + 018.2763E + 016.4581E + 016.5224E + 017.6558E + 01
Std5.0841E + 016.9845E + 016.2850E + 016.1357E + 017.1917E + 01
t-Test1001
W-test1001

F6Best4.5969E + 015.9686E + 016.2284E + 013.2633E + 016.7267E + 01
Mean1.3756E + 032.5942E + 031.2486E + 031.9808E + 031.6455E + 03
Std1.3486E + 036.5814E + 031.2807E + 031.9696E + 031.4654E + 03
t-Test0010
W-test1010

F7Best1.5272E − 012.9158E − 011.7449E − 011.5402E − 011.0669E − 01
Mean9.1146E − 011.0890E + 009.2265E − 011.0449E + 009.2102E − 01
Std3.6188E − 014.0394E − 013.2331E − 013.7025E − 013.5455E − 01
t-Test1010
W-test1010

F8Best2.8786E + 005.5281E + 002.1503E + 008.0870E + 001.4100E + 01
Mean3.3990E + 025.2568E + 023.1279E + 024.6150E + 023.2763E + 02
Std3.3356E + 027.6387E + 023.4204E + 025.1608E + 022.5034E + 02
t-Test1000
W-test0000

F9Best1.0009E + 021.0014E + 021.0007E + 021.0006E + 021.0008E + 02
Mean1.0017E + 021.0025E + 021.0019E + 021.0017E + 021.0019E + 02
Std3.2463E − 025.7059E − 023.4712E − 023.7246E − 023.7393E − 02
t-Test1101
W-test1101

F10Best2.2384E + 022.5789E + 022.2198E + 022.2334E + 022.3119E + 02
Mean3.5107E + 024.2840E + 023.5086E + 023.6722E + 023.6328E + 02
Std6.6269E + 011.3156E + 027.1596E + 016.4233E + 016.1590E + 01
t-Test1000
W-test1010

F11Best2.7164E + 003.2384E + 002.0988E + 002.1370E + 003.0977E + 00
Mean2.1417E + 011.2580E + 022.2096E + 012.7560E + 019.9780E + 00
Std6.4015E + 011.4263E + 026.3877E + 017.4865E + 012.9252E + 01
t-Test1000
W-test1000

F12Best1.0052E + 021.0140E + 021.0102E + 021.0076E + 021.0091E + 02
Mean1.0155E + 021.0249E + 021.0166E + 021.0155E + 021.0168E + 02
Std4.3034E − 015.9355E − 013.6841E − 014.3902E − 013.5919E − 01
t-Test1001
W-test1001

F13Best2.1308E + 012.2542E + 012.2485E + 012.1947E + 012.2726E + 01
Mean2.5728E + 012.7713E + 012.6419E + 012.6109E + 012.6735E + 01
Std1.8822E + 002.0439E + 001.7183E + 001.9366E + 001.7349E + 00
t-Test1101
W-test1101

F14Best3.3572E + 025.1767E + 021.7705E + 023.4012E + 023.3437E + 02
Mean2.7176E + 034.1555E + 032.6734E + 032.9169E + 032.5102E + 03
Std9.2981E + 021.9663 E + 037.3991E + 028.8523E + 028.2462E + 02
t-Test1000
W-test1000

F15Best1.0002E + 021.0002E + 021.0010E + 021.0015E + 021.0002E + 02
Mean1.0234E + 021.0622E + 021.0268E + 021.0293E + 021.0253E + 02
Std1.9637E + 004.3625E + 002.1304E + 002.6496E + 001.3014E + 00
t-Test1000
W-test1000