Table 30 Analysis of belleville spring design problem using HHO variants.

From: Development and evaluation of hybrid harris hawks optimization algorithms for advanced engineering applications

Algorithm

Best

Mean

Median

Standard deviation

Average time per run (sec.)

HHO

1.980157409

2.47367E + 22

2.060988925

2.68967E + 22

0.00350612

HHO-Elite

1.979596351

1.76691E + 22

1.9336479155

2.5415E + 22

0.016614467

HHO-GA

1.979505672

1.984553093

1.980610322

0.009897938

0.024222063

HHO-CHAOS

1.979485049

2.29698E + 22

2.045706155

2.6716E + 22

0.015297893

HHO-ADAP

1.984627519

2.12029E + 22

2.520971279

2.6412E + 22

0.012834973

HHO-PSO

1.979593104

2.034836029

1.980405183

0.156183858

0.012544933

HHO-Inertia

1.979538392

3.00374E + 22

5.30072E + 22

2.6716E + 22

0.0086294

HHO-ULTRA

2.047415233

1.76721E + 22

3.102560238

2.54193E + 22

0.124352147

WMA

2.03342382

6.37733E + 19

2.699277828

2.41478E + 20

2.04635483

CMA-ES

2.47863E + 23

1.60446E + 28

1.19789E + 28

1.53429E + 28

0.27177833

EBOwithCMAR

1.979674757

2.018480872

1.979674757

0.129591187

0.90680504

L-SHADE

1.979674757

1.76691E + 21

1.979674757

9.67774E + 21

0.427360873

LSHADE-cnEpSin

1.979674757

1.979674757

1.979674757

1.13521E-15

0.48292426

SPS-L-SHADE-EIG

1.979674757

1.41352E + 22

1.979674757

2.38414E + 22

0.938313847

OWMA

1.98762688

2.048254595

2.009743364

0.130162703

1.177513663

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