Table 34 Sensitivity analysis of GWO-TLBO for CEC-2014.

From: An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems

Parameter

Range/values tested

Best value

Sensitivity metric (% Change)

Impact on best fitness

Number of Wolves

5–50

20

12.3%

Moderate

Maximum Iterations

50–1000

500

18.5%

High

Teaching Factor (TF)

0.1–2.0

1.2

8.7%

Low

Learning Rate

0.01–0.5

0.1

10.2%

Moderate