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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