Instance 80_08 using the Global Sequencing Constraint

	NODES		TIME
	avg	min	avg	min
s_l_l_c_gs	171.40	170.00	1.07	1.03
r_e_l_c_gs	175.60	174.00	1.18	1.13
pq_e_m_c_gs	163.00	161.00	1.06	1.04
R_s_m_c_gs	173.00	171.00	1.04	1.03
L_e_m_c_gs	173.20	172.00	1.02	1.02
R_l_m_c_gs	170.80	169.00	0.98	0.96
L_l_m_o_gs	309.00	307.00	2.08	2.07
d_s_m_c_gs	177.20	172.00	1.07	1.06
d_l_l_c_gs	170.60	169.00	1.19	1.17
d_e_l_c_gs	176.80	174.00	1.19	1.17
s_l_m_c_gs	170.60	169.00	0.98	0.94
s_l_m_o_gs	297.00	297.00	3.48	3.45
S_l_l_o_gs	--	--	--	--
l_l_l_c_gs	171.40	170.00	1.04	1.00
l_l_m_c_gs	170.40	169.00	0.97	0.93
s_s_l_c_gs	175.60	174.00	1.18	1.14
L_s_l_c_gs	174.40	173.00	1.15	1.14
r_s_l_c_gs	175.60	174.00	1.19	1.14
R_e_m_c_gs	173.00	171.00	1.04	1.03
R_l_l_c_gs	170.80	169.00	1.07	1.04
S_e_m_c_gs	172.80	170.00	1.03	1.03
S_l_m_o_gs	--	--	--	--
r_l_l_o_gs	310.80	310.00	2.51	2.50
l_e_m_c_gs	172.60	171.00	1.05	1.01
pq_s_m_c_gs	155.20	152.00	1.00	0.98
pq_l_m_c_gs	162.20	159.00	1.06	1.05
l_l_m_o_gs	309.20	307.00	2.13	2.11
S_e_l_c_gs	174.40	173.00	1.17	1.15
d_l_m_o_gs	299.80	299.00	2.58	2.58
s_l_l_o_gs	--	--	--	--
mo_s_m_c_gs	2172.60	231.00	1.94	1.00
S_s_l_c_gs	174.40	173.00	1.17	1.15
S_s_m_c_gs	172.80	170.00	1.03	1.02
pq_s_l_c_gs	156.20	154.00	1.12	1.11
r_l_m_c_gs	169.40	167.00	0.97	0.95
s_e_m_c_gs	170.80	169.00	1.01	1.01
R_e_l_c_gs	174.40	173.00	1.17	1.15
L_s_m_c_gs	173.20	172.00	1.02	1.02
pq_l_m_o_gs	290.00	290.00	3.35	3.33
L_e_l_c_gs	174.40	173.00	1.16	1.14
d_s_l_c_gs	177.00	174.00	1.20	1.17
d_e_m_c_gs	177.00	172.00	1.08	1.06
r_e_m_c_gs	171.40	168.00	1.02	1.01
R_l_l_o_gs	312.60	311.00	2.49	2.48
R_l_m_o_gs	309.60	309.00	2.33	2.33
d_l_m_c_gs	172.40	171.00	1.06	1.03
pq_l_l_o_gs	281.00	281.00	3.61	3.60
L_l_l_o_gs	311.20	309.00	2.30	2.29
s_s_m_c_gs	170.80	169.00	1.01	1.00
s_e_l_c_gs	175.60	174.00	1.17	1.14
S_l_l_c_gs	170.80	169.00	1.08	1.04
d_l_l_o_gs	311.80	311.00	2.82	2.80
r_l_l_c_gs	171.40	170.00	1.07	1.04
l_s_m_c_gs	172.60	171.00	1.01	1.00
l_s_l_c_gs	175.60	174.00	1.16	1.12
l_e_l_c_gs	175.60	174.00	1.16	1.13
mo_s_l_c_gs	8952.20	305.00	6.60	1.25
pq_l_l_c_gs	160.60	157.00	1.12	1.10
S_l_m_c_gs	170.60	170.00	0.98	0.96
pq_e_l_c_gs	160.60	157.00	1.12	1.10
r_l_m_o_gs	307.40	307.00	2.38	2.35
L_l_l_c_gs	170.80	169.00	1.06	1.03
L_l_m_c_gs	171.00	170.00	0.97	0.94
r_s_m_c_gs	171.40	168.00	1.02	1.00
l_l_l_o_gs	310.00	310.00	2.24	2.23
R_s_l_c_gs	174.40	173.00	1.17	1.15

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_l_m_o_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