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Table 12 Wilcoxon rank sum test results of other algorithms CEC2019 test set based on HBWO

From: Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

F

Algorithm

PSO

SSA

WOA

HHO

DO

SCSO

AO

AOA

BWO

LHHO

LSMA

F1

8.00650E-09

0.000066506

8.00650E-09

NaN

NaN

0.0095844

0.080631

1.10490E-06

NaN

NaN

NaN

F2

6.79560E-08

0.0961960

6.79560E-08

2.16020E-06

2.99200E-08

0.568470

5.88750E-07

6.79560E-08

0.0028787

1.42240E-07

9.31530E-06

F3

3.41560E-07

6.79560E-08

0.0025606

0.000011045

1.57570E-06

0.180580

1.65710E-07

6.79560E-08

3.41560E-07

0.0010141

0.1555700

F4

4.54010E-06

1.43090E-07

6.79560E-08

6.79560E-08

6.79560E-08

9.17280E-08

1.43090E-07

6.79560E-08

6.79560E-08

3.93880E-07

0.000046804

F5

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

F6

6.67370E-06

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

7.89800E-08

6.79560E-08

6.79560E-08

6.79560E-08

6.79560E-08

3.06910E-06

F7

3.06910E-06

4.53900E-07

2.95980E-07

3.98740E-06

9.17280E-08

0.000032931

0.0017824

3.49950E-06

6.79560E-08

9.12660E-07

0.0017824

F8

1.2009E-06

6.79560E-08

1.91770E-07

6.79560E-08

6.79560E-08

0.00024706

9.17280E-08

1.65710E-07

6.79560E-08

2.21780E-07

0.023903

F9

0.0764310

6.79560E-08

1.43090E-07

7.89800E-08

6.79560E-08

0.00022220

1.37610E-06

6.79560E-08

6.79560E-08

6.01480E-07

0.8181500

F10

0.00068682

7.57740E-06

0.1075100

0.000011045

5.87360E-06

0.00092091

0.081032

2.35570E-06

2.06160E-06

0.0021393

8.5974E-06

 + / = / − 

0/1/9

0/1/9

0/1/9

0/1/9

0/1/9

0/2/8

0/2/8

0/0/10

0/1/9

0/1/9

0/3/7

  1. The bold represents the optimal values of the evaluation indicators