A Hybrid Epigraph Directions Method for Nonsmooth and Nonconvex Constrained Optimization via Generalized Augmented Lagrangian Duality and a Genetic Algorithm

Table 11

Comparison of the results obtained by both versions of the IED for problem QQR-P1-3.

	QQR-P1-3
	IED + fmin	IED + GA
	result	best	worst	mean	sd
	0.9535	0.9576	0.9837	0.9676	0.0099
	0.9535	0.9565	0.9853	0.9637	0.0890
	0.9535	0.9550	0.9881	0.9665	0.0115
	0.9535	0.9550	0.9684	0.9603	0.0039
	0.9535	0.9541	0.9860	0.9652	0.0096
	−25.0694	0.9558	0.9683	0.9628	0.0040
	0.9535	0.9568	1.0124	0.9708	0.0185