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Table 14 Comparative results for tension/compression spring design problem

From: An advanced hybrid meta-heuristic algorithm for solving small- and large-scale engineering design optimization problems

Algorithms

Best

Worst

Mean

std

GSA

0.012873881

0.014211731

0.013438871

0.000287

SCA

0.012669

0.016717

0.012922

5.92e−04

EO

0.012666

0.013997

0.013017

3.91e−04

CPSO

0.012674

0.012924

0.012730

5.19e−05

DE

0.012693

0.020034

0.012744

3.680e−05

PSO

0.016508

0.015234

0.049161

4.027e−04

AFA

0.012670

0.012710

0.012680

1.281e−05

GWO

0.012666

0.012654

0.012741

1.281e−05

WCA

0.012630231

0.017722009

0.013388089

1.0864e−03

QPSO

0.012665

0.017759

0.013524

1.268e−03

Modified DE

0.012665

0.012654

0.012666

2.0e−06

SHO

0.012674000

0.012715185

0.012684106

0.000027

HS

0.012776352

0.015214230

0.013069872

0.000375

EPO

0.012656987

0.012667902

0.012678903

0.001021

aDE

0.012552

0.012755

0.012654

2.02e−06

aPSO

0.012568

0.012689

0.012645

2.12e−06

haDEPSO

0.012475

0.012652

0.012564

1.12e−06