Table 9 T-test results.

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

Compared algorithm

Objective function type

CEC 2017

CEC 2020

D = 10

D = 30

D = 50

D = 100

BOA vs. CMA–ES

0.025659

0.01308

0.012415

1.45E–08

1.23E–08

BOA vs. EBOwithCMAR

0.023591

0.06815

0.003216

0.002527

6.32E–05

BOA vs. SPS_L_SHADE_EIG

0.003543

0.000362

4.38E–05

3.4E–05

2.12E–05

BOA vs. LSHADE_cnEpSi

0.003885

0.066835

0.002224

0.000894

1.13E–04

BOA vs. LSHADE

0.024488

0.002107

0.000132

0.000113

4.13E–05

BOA vs. WSO

0.003696

0.00046

4.73E–05

5.08E–05

4.55E–05

BOA vs. AVOA

0.022884

0.068085

0.004259

0.002902

3.57E–05

BOA vs. RSA

0.003425

0.000363

4.38E–05

3.38E–05

8.69E–08

BOA vs. MPA

0.023707

0.001606

0.002224

0.000894

4.38E–05

BOA vs. TSA

0.024687

0.002113

0.000132

0.000113

2.09E–05

BOA vs. WOA

0.019632

0.005948

0.002747

0.001704

1.64E–03

BOA vs. GWO

0.029303

0.050449

0.002851

0.001458

3.45E–04

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