morg

Description

Mixed-integer nonlinear optimization problems. There are 67 instances listed here. 3 instances return error when loading.

Source

These instances are recorded in MINLP Cyber-Infrastructure.

Instance Stats

LT is the JuMP model loading time.

NAME	LT	NLOPERATOR	SENSE	VAR	BINVAR	INTVAR	CON	LINCON	NLCONS	OTHERCONS
10proc_basecase_bm	1.69	exp	Min	50	10	0	56	49	7	0
10proc_basecase_hr	1.65	exp	Min	50	10	0	56	49	7	0
12proc_basecase_bm	1.49	exp	Min	57	12	0	64	55	9	0
12proc_basecase_hr	1.52	exp	Min	57	12	0	64	55	9	0
8proc_basecase_bm	1.49	exp	Min	42	8	0	60	55	5	0
8proc_basecase_hr	1.49	exp	Min	42	8	0	60	55	5	0
Conventional	3.69	div mul	Min	642	20	0	1129	908	221	0
DICOPTnonconvexUC_ZondervanE	20.45	mul	Min	961	720	0	5330	5329	1	0
EPA_pooling_TC1_R1	2.13	powerfrac exp mul	Min	215	30	0	341	291	50	0
EPA_pooling_TC1_R2	2.21	powerfrac exp mul	Min	215	30	0	341	291	50	0
EPA_pooling_TC2_R1	2.49	powerfrac exp mul	Min	332	45	0	525	439	86	0
EPA_pooling_TC2_R2	2.61	powerfrac exp mul	Min	332	45	0	525	439	86	0
EPA_pooling_TC3_R1	5.11	powerfrac exp mul	Min	1105	150	0	1718	1444	274	0
EPA_pooling_TC3_R2	5.18	powerfrac exp mul	Min	1105	150	0	1718	1444	274	0
Ex_1a_WaterNet-B-Eps	1.49	powerfrac	Min	75	20	0	84	67	17	0
Ex_1b_WaterNet-B-WOEps	1.61	powerfrac	Min	75	20	0	84	67	17	0
Ex_1c_WaterNet-LG-Eps	1.5	powerfrac	Min	75	20	0	84	67	17	0
Ex_1d_WaterNet-LG-WOEps	1.64	powerfrac	Min	75	20	0	84	67	17	0
Ex_2_WaterNet-B-Eps	2.22	powerfrac	Min	233	72	0	250	204	46	0
GMA_ethanol_model_BigM	-	-	-	-	-	-	-	-	-
GMA_ethanol_model_CH	-	-	-	-	-	-	-	-	-
General_Model_Case1	1.62	log div	Min	113	12	0	121	73	48	0
General_Model_Case2	1.8	powerfrac log div	Min	149	16	0	167	102	65	0
General_Model_Case3	2.93	powerfrac log div	Min	581	60	0	511	270	241	0
LeeCrudeOil1_scheduler	3.15	mul	Max	536	40	0	1241	1081	160	0
LeeCrudeOil2_scheduler	4.96	mul	Max	1156	70	0	2582	2162	420	0
LeeCrudeOil3_scheduler	5.2	mul	Max	1281	70	0	2787	2297	490	0
LeeCrudeOil4_scheduler	7.72	mul	Max	1956	95	0	4242	3482	760	0
M1withinc	-	-	-	-	-	-	-	-	-
MINLP-7-orders	2.6	mul	Min	329	200	56	688	624	64	0
MINLP-9-orders	2.87	mul	Min	361	216	72	894	826	68	0
MINLP	808.34	div	Max	1001	500	0	502	501	1	0
Model_P1	1.58	sqrt div	Min	28	21	0	28	27	1	0
Model_P2	1.52	mul	Min	28	3	0	31	25	6	0
PROC8_EMP	1.51	exp	Min	42	8	0	68	63	5	0
PROC8_MINLP	1.49	exp	Min	42	8	0	55	50	5	0
STG_EX1	2.07	div	Max	415	198	0	262	228	34	0
STG_EX1a	2.02	div	Max	424	216	0	250	225	25	0
STG_EX1b	2.13	div	Max	476	243	0	280	252	28	0
STG_EX1c	2.13	div	Max	477	252	0	270	248	22	0
STG_EX2	2.12	div	Max	451	216	0	299	274	25	0
STG_EX5	2.11	div	Max	451	216	0	299	274	25	0
STG_EX6	2.42	div	Max	694	384	0	388	355	33	0
Specilized_Model_Case1	1.58	powerfrac div mul	Min	57	12	0	65	64	1	0
TCD1_MINLPorg	3.62	div mul	Min	483	35	0	1296	1165	131	0
TCD2_MINLPorg	3.59	div mul	Min	498	50	0	1311	1180	131	0
UC_ZondervanE	24.92	mul	Min	961	720	0	5330	5329	1	0
bcp5	1.59	div mul	Max	91	6	0	104	74	30	0
bcp6	1.67	div mul	Max	119	7	0	135	88	47	0
bcp7	1.91	div mul	Max	135	8	0	154	98	56	0
bcp8	2.18	div mul	Max	169	9	0	191	112	79	0
caso-1-sc-v2	5.41	div mul	Max	1557	50	0	1266	565	701	0
clay0203_BM	1.41	mul	Min	13	0	0	49	25	24	0
clay0203_HR	1.39	mul	Min	13	0	0	49	25	24	0
concbased	1.96	powerfrac	Min	361	5	0	320	291	29	0
convex1	1.52	exp	Min	47	24	0	74	72	2	0
convex2	1.68	exp	Min	101	60	0	218	216	2	0
del_asl_minlp	1.68	mul	Min	82	10	0	101	80	21	0
del_asl_miqp	1.51	mul	Min	72	10	0	80	79	1	0
flowbased	2.12	powerfrac	Min	421	5	0	380	225	155	0
generalizedpooling_lee1	1.62	mul	Min	50	9	0	83	63	20	0
generalizedpooling_lee2	1.78	mul	Min	54	9	0	93	63	30	0
generalizedpooling_meyer10	2.75	mul	Min	395	187	0	424	391	33	0
generalizedpooling_meyer15	3.98	mul	Min	735	352	0	769	721	48	0
generalizedpooling_meyer4	1.77	mul	Min	119	55	0	142	127	15	0
nonconvex1	1.54	powerfrac div	Min	35	12	0	68	36	32	0
nonconvex2	1.68	powerfrac div	Min	77	36	0	206	108	98	0