Table 12 Statistical results of optimization algorithms on pressure vessel design problem.

From: Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems

Algorithm

Mean

Best

Worst

Std

Median

Rank

BOA

5882.8955

5882.8955

5882.8955

9.83E-14

5882.8955

1

CMA-ES

5883.979

5882.9013

5893.5344

0.1514476

5882.9014

4

EBOwithCMAR

5926.4819

5882.9022

6033.5159

2.4017279

5904.2353

6

SPS_L_SHADE_EIG

6727.8363

6125.8849

7709.4146

21.314541

6597.5689

11

LSHADE_cnEpSi

5882.9013

5882.9013

5882.9013

3.71E-08

5882.9013

2

LSHADE

5933.1611

5886.3286

6020.8365

2.2708573

5916.653

7

WSO

5890.6028

5882.9013

5958.8872

1.0822684

5882.9017

5

AVOA

6194.3351

5882.9072

6959.217

17.163132

6035.3576

9

RSA

11,920.942

7619.3008

18,935.458

152.31712

10,990.03

13

MPA

5882.9013

5882.9013

5882.9013

2.274E-07

5882.9013

3

TSA

6242.0657

5907.3928

6868.6083

16.22791

6124.096

10

WOA

7840.235

6241.816

12,287.111

81.924031

7452.6013

12

GWO

6002.6746

5889.6633

6611.9911

11.660298

5897.3778

8