Table 25 Analysis of 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

0.012669729

0.013861329

0.013259533

0.001385172

0.0029772

HHO-Elite

0.012666543

0.01360547

0.013230024

0.001090324

0.008922943

HHO-GA

0.01266894

0.013271986

0.012916994

0.00099217

0.005056147

HHO-CHAOS

0.012666398

0.013989374

0.013479263

0.001361324

0.002713953

HHO-ADAP

0.012796948

0.013651902

0.013473945

0.000723393

0.003117697

HHO-PSO

0.012672864

0.013700742

0.013356521

0.001098726

0.00301308

HHO-Inertia

0.012731146

0.013913179

0.013557926

0.001117937

0.001897633

HHO-ULTRA

0.012717618

0.014184633

0.013430707

0.001737709

0.00988163

WMA

0.012748948

0.01734652

0.015206631

0.006269122

0.242331253

CMA-ES

0.051075961

2.97582E + 14

3.03675E + 14

2.30337E + 14

0.052749457

EBOwithCMAR

0.012667354

0.01277185

0.012719054

0.00013333

0.114007537

L-SHADE

0.012667233

0.012667086

0.012665284

5.40306E-06

0.051863633

LSHADE-cnEpSin

0.012667233

0.012679627

0.012666862

4.79707E-05

0.046506593

SPS-L-SHADE-EIG

0.012667233

0.012668312

0.012665233

1.10334E-05

0.18872605

OWMA

0.012706927

0.012793348

0.012791514

4.9499E-05

0.181971913

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