Structured Clanning-Based Ensemble Optimization Algorithm: A Novel Approach for Solving Complex Numerical Problems

Table 1

SCEO checked configuration for hyperparameters.

Parameters	Configuration values	Tuned value
Number of groups ()	[2, 3]	3
Number of child agents per group ()	[5, 10, 15]	10
Number of female agents per group ()	[5, 10, 15]	6
Number of bounded agents per group ()	[5, 10, 15]	4
Number of semibounded agents ()	[10, 20, 30]	20
Number of unbounded agents ()	[10, 20, 30]	20
Perturbation rates ()	[0.25, 0.5, 0.75]	0.2
Perturbation rates ()	[0.25, 0.5, 0.75]	0.75