Instance 70_01 using the Global Sequencing Constraint

	NODES		TIME
	avg	min	avg	min
s_l_l_c_gs	191.20	191.00	1.26	1.24
r_e_l_c_gs	190.00	190.00	1.25	1.24
pq_e_m_c_gs	173.00	172.00	1.00	0.99
R_s_m_c_gs	191.20	191.00	1.10	1.08
L_e_m_c_gs	191.20	191.00	1.09	1.09
R_l_m_c_gs	192.60	192.00	1.12	1.11
L_l_m_o_gs	284.00	284.00	2.08	2.08
d_s_m_c_gs	191.60	190.00	1.13	1.11
d_l_l_c_gs	184.20	183.00	1.36	1.34
d_e_l_c_gs	193.00	193.00	1.34	1.31
s_l_m_c_gs	192.80	192.00	1.13	1.11
s_l_m_o_gs	--	--	--	--
S_l_l_o_gs	--	--	--	--
l_l_l_c_gs	191.20	191.00	1.24	1.23
l_l_m_c_gs	192.80	192.00	1.13	1.11
s_s_l_c_gs	190.00	190.00	1.23	1.22
L_s_l_c_gs	190.00	190.00	1.22	1.21
r_s_l_c_gs	190.00	190.00	1.23	1.22
R_e_m_c_gs	191.20	191.00	1.10	1.10
R_l_l_c_gs	191.20	191.00	1.26	1.23
S_e_m_c_gs	191.20	191.00	1.10	1.10
S_l_m_o_gs	--	--	--	--
r_l_l_o_gs	284.00	284.00	3.13	3.11
l_e_m_c_gs	190.80	190.00	1.10	1.09
pq_s_m_c_gs	174.20	173.00	1.00	0.99
pq_l_m_c_gs	173.00	172.00	1.00	0.99
l_l_m_o_gs	283.00	283.00	2.07	2.04
S_e_l_c_gs	190.00	190.00	1.24	1.23
d_l_m_o_gs	281.20	281.00	2.45	2.44
s_l_l_o_gs	22954.80	19005.00	228.79	191.07
mo_s_m_c_gs	176.60	175.00	1.08	1.07
S_s_l_c_gs	190.00	190.00	1.24	1.23
S_s_m_c_gs	191.20	191.00	1.10	1.09
pq_s_l_c_gs	176.40	176.00	1.12	1.09
r_l_m_c_gs	192.80	192.00	1.12	1.10
s_e_m_c_gs	191.20	191.00	1.08	1.07
R_e_l_c_gs	191.00	191.00	1.26	1.24
L_s_m_c_gs	191.20	191.00	1.08	1.07
pq_l_m_o_gs	252.00	252.00	2.86	2.85
L_e_l_c_gs	191.00	191.00	1.25	1.24
d_s_l_c_gs	193.00	193.00	1.33	1.31
d_e_m_c_gs	191.60	186.00	1.14	1.11
r_e_m_c_gs	190.80	190.00	1.11	1.10
R_l_l_o_gs	285.00	285.00	3.11	3.06
R_l_m_o_gs	283.00	283.00	2.37	2.35
d_l_m_c_gs	184.00	184.00	1.14	1.12
pq_l_l_o_gs	199.00	199.00	2.84	2.83
L_l_l_o_gs	286.00	286.00	2.41	2.40
s_s_m_c_gs	191.20	191.00	1.09	1.08
s_e_l_c_gs	190.00	190.00	1.22	1.21
S_l_l_c_gs	191.20	191.00	1.27	1.25
d_l_l_o_gs	281.00	281.00	2.78	2.77
r_l_l_c_gs	191.20	191.00	1.26	1.25
l_s_m_c_gs	191.00	191.00	1.07	1.06
l_s_l_c_gs	190.00	190.00	1.21	1.21
l_e_l_c_gs	190.00	190.00	1.24	1.22
mo_s_l_c_gs	258.80	183.00	1.21	1.13
pq_l_l_c_gs	176.20	174.00	1.14	1.11
S_l_m_c_gs	192.60	192.00	1.14	1.13
pq_e_l_c_gs	177.00	176.00	1.14	1.10
r_l_m_o_gs	285.00	285.00	2.38	2.37
L_l_l_c_gs	191.20	191.00	1.24	1.23
L_l_m_c_gs	192.60	192.00	1.13	1.11
r_s_m_c_gs	191.20	191.00	1.09	1.08
l_l_l_o_gs	286.00	286.00	2.36	2.35
R_s_l_c_gs	190.00	190.00	1.24	1.22

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_l_o_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