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

Table 1

Parameters of the IED method.

Test-problem			Population Size	Generations	Lower Bound	Upper Bound	Optimal Value
GLR-P1-1	50
GQR-P1-1	1
PPR-P1-2	0.1
PQR-T1-7	1.5
SQR-P1-1	0.2
LGR-P1-1	0.1
QBR-T1-1	1
PBR-T1-1	1
PBR-T1-2	1
QQR-P1-3	1
QQR-T1-6	1
PLR-T1-1	1						−1
PBR-T1-3	1						2.6666
QLR-T1-1	1						−99.96
PQR-T1-1	5						306.5
QQR-T1-3	0.1						−30
GBR-T1-1	1						−1.9132
PQR-T1-4	1						−6961.8138
QQR-T1-2	1						−8.4984
QPR-T1-1	0.1						1