Instance 70_07 using the Global Sequencing Constraint

	NODES		TIME
	avg	min	avg	min
s_l_l_c_gs	193.20	192.00	1.21	1.20
r_e_l_c_gs	190.40	189.00	1.16	1.14
pq_e_m_c_gs	175.20	174.00	0.98	0.97
R_s_m_c_gs	190.20	189.00	1.01	1.00
L_e_m_c_gs	191.20	190.00	1.01	0.99
R_l_m_c_gs	193.00	190.00	1.06	1.03
L_l_m_o_gs	276.00	276.00	1.98	1.97
d_s_m_c_gs	190.60	188.00	1.07	1.05
d_l_l_c_gs	180.40	177.00	1.15	1.07
d_e_l_c_gs	190.00	187.00	1.15	1.06
s_l_m_c_gs	192.20	190.00	1.05	1.03
s_l_m_o_gs	--	--	--	--
S_l_l_o_gs	--	--	--	--
l_l_l_c_gs	193.20	192.00	1.19	1.18
l_l_m_c_gs	192.40	190.00	1.05	1.03
s_s_l_c_gs	190.60	190.00	1.14	1.12
L_s_l_c_gs	191.20	190.00	1.14	1.12
r_s_l_c_gs	190.60	190.00	1.15	1.13
R_e_m_c_gs	191.20	190.00	1.02	1.00
R_l_l_c_gs	193.40	193.00	1.18	1.17
S_e_m_c_gs	190.60	190.00	1.01	1.00
S_l_m_o_gs	--	--	--	--
r_l_l_o_gs	281.80	281.00	2.74	2.72
l_e_m_c_gs	191.60	191.00	1.01	1.00
pq_s_m_c_gs	175.20	174.00	0.96	0.95
pq_l_m_c_gs	175.20	174.00	0.99	0.96
l_l_m_o_gs	272.00	272.00	1.94	1.93
S_e_l_c_gs	191.20	190.00	1.15	1.13
d_l_m_o_gs	269.20	269.00	2.26	2.26
s_l_l_o_gs	--	--	--	--
mo_s_m_c_gs	180.20	177.00	1.01	1.00
S_s_l_c_gs	191.20	190.00	1.15	1.14
S_s_m_c_gs	190.60	190.00	1.01	1.00
pq_s_l_c_gs	172.60	172.00	1.03	1.02
r_l_m_c_gs	191.80	190.00	1.07	1.04
s_e_m_c_gs	189.80	189.00	1.00	0.99
R_e_l_c_gs	190.60	189.00	1.16	1.15
L_s_m_c_gs	190.20	189.00	1.00	0.99
pq_l_m_o_gs	211.00	211.00	2.60	2.58
L_e_l_c_gs	190.60	189.00	1.14	1.13
d_s_l_c_gs	190.00	187.00	1.16	1.06
d_e_m_c_gs	190.60	188.00	1.07	1.05
r_e_m_c_gs	191.00	190.00	1.03	1.01
R_l_l_o_gs	283.40	283.00	2.77	2.74
R_l_m_o_gs	274.00	274.00	2.15	2.13
d_l_m_c_gs	180.80	179.00	1.07	1.05
pq_l_l_o_gs	199.00	199.00	2.60	2.59
L_l_l_o_gs	282.20	282.00	2.29	2.28
s_s_m_c_gs	189.80	189.00	1.00	0.99
s_e_l_c_gs	190.60	190.00	1.13	1.12
S_l_l_c_gs	193.40	193.00	1.17	1.16
d_l_l_o_gs	269.20	269.00	2.54	2.53
r_l_l_c_gs	193.20	192.00	1.22	1.19
l_s_m_c_gs	189.80	189.00	1.00	0.99
l_s_l_c_gs	190.60	190.00	1.13	1.10
l_e_l_c_gs	190.40	189.00	1.15	1.12
mo_s_l_c_gs	221234.40	28257.00	124.85	14.38
pq_l_l_c_gs	176.20	175.00	1.10	1.09
S_l_m_c_gs	192.80	190.00	1.07	1.04
pq_e_l_c_gs	176.20	175.00	1.10	1.09
r_l_m_o_gs	273.00	273.00	2.14	2.12
L_l_l_c_gs	193.40	193.00	1.16	1.16
L_l_m_c_gs	193.00	190.00	1.06	1.02
r_s_m_c_gs	189.80	189.00	1.01	0.99
l_l_l_o_gs	283.00	283.00	2.28	2.25
R_s_l_c_gs	191.20	190.00	1.14	1.13

Best configurations

['L_e_l_c_gs', 'L_e_m_c_gs', 'L_l_l_c_gs', 'L_l_l_o_gs', 'L_l_m_c_gs', 'L_l_m_o_gs', 'L_s_l_c_gs', 'L_s_m_c_gs', 'R_e_l_c_gs', 'R_e_m_c_gs', 'R_l_l_c_gs', 'R_l_l_o_gs', 'R_l_m_c_gs', 'R_l_m_o_gs', 'R_s_l_c_gs', 'R_s_m_c_gs', 'S_e_l_c_gs', 'S_e_m_c_gs', 'S_l_l_c_gs', 'S_l_m_c_gs', 'S_s_l_c_gs', 'S_s_m_c_gs', 'd_e_l_c_gs', 'd_e_m_c_gs', 'd_l_l_c_gs', 'd_l_l_o_gs', 'd_l_m_c_gs', 'd_l_m_o_gs', 'd_s_l_c_gs', 'd_s_m_c_gs', 'l_e_l_c_gs', 'l_e_m_c_gs', 'l_l_l_c_gs', 'l_l_l_o_gs', 'l_l_m_c_gs', 'l_l_m_o_gs', 'l_s_l_c_gs', 'l_s_m_c_gs', 'mo_s_l_c_gs', 'mo_s_m_c_gs', 'pq_e_l_c_gs', 'pq_e_m_c_gs', 'pq_l_l_c_gs', 'pq_l_l_o_gs', 'pq_l_m_c_gs', 'pq_l_m_o_gs', 'pq_s_l_c_gs', 'pq_s_m_c_gs', 'r_e_l_c_gs', 'r_e_m_c_gs', 'r_l_l_c_gs', 'r_l_l_o_gs', 'r_l_m_c_gs', 'r_l_m_o_gs', 'r_s_l_c_gs', 'r_s_m_c_gs', 's_e_l_c_gs', 's_e_m_c_gs', 's_l_l_c_gs', 's_l_m_c_gs', 's_s_l_c_gs', 's_s_m_c_gs']

Description

Each table represents some statics related to given configuration. A configuration is denoted by A_B_C_D_E where :

A is the selection criteria. We denote by

mo : Max option
pq : The capacity q\p
d : The residual demand
l : The load
s : The slack
r : The usage rate

B is the aggregation function. We denote by

l : Lexicographic order
s : Sum of the elements
e : Euclidean norm

C is the exploration criteria. We denote by

l : Lexicographic exploration
m : Middle towars sides

D is the Branching parameter. We denote by

o : Option
c : Class

E is the filtering model. We denote by

n : The default model using sum constraints
am : The model using the AtMostSeqCard Constraint
gs : The model using the Global Sequencing Constraint (GSC)
gsam : The model combining AtMostSeqCard+GSC
f : The model using the new filtering algorithm