Instance 60_01 using the Global Sequencing Constraint
NODES
TIME
avg
min
avg
min
s_l_l_c_gs 188.00 186.00 1.21 1.18
r_e_l_c_gs 187.20 186.00 1.18 1.17
pq_e_m_c_gs 101.00 101.00 0.90 0.90
R_s_m_c_gs 183.00 183.00 1.01 1.00
L_e_m_c_gs 184.00 184.00 1.03 1.03
R_l_m_c_gs 184.80 184.00 1.03 1.00
L_l_m_o_gs 251.40 251.00 2.05 2.03
d_s_m_c_gs 184.80 181.00 1.11 1.09
d_l_l_c_gs 180.00 179.00 1.23 1.18
d_e_l_c_gs 188.20 187.00 1.20 1.20
s_l_m_c_gs 184.60 184.00 1.02 1.01
s_l_m_o_gs -- -- -- --
S_l_l_o_gs 72186.80 241.00 242.73 3.02
l_l_l_c_gs 188.00 186.00 1.19 1.16
l_l_m_c_gs 184.60 184.00 1.01 0.99
s_s_l_c_gs 186.20 185.00 1.10 1.08
L_s_l_c_gs 187.60 186.00 1.17 1.11
r_s_l_c_gs 187.60 186.00 1.16 1.10
R_e_m_c_gs 184.00 184.00 1.04 1.02
R_l_l_c_gs 188.00 186.00 1.23 1.16
S_e_m_c_gs 183.00 183.00 0.99 0.98
S_l_m_o_gs -- -- -- --
r_l_l_o_gs -- -- -- --
l_e_m_c_gs 184.00 184.00 1.01 1.00
pq_s_m_c_gs 101.80 101.00 0.91 0.91
pq_l_m_c_gs 103.60 102.00 0.97 0.92
l_l_m_o_gs -- -- -- --
S_e_l_c_gs 187.60 186.00 1.17 1.10
d_l_m_o_gs 244.00 244.00 2.12 2.11
s_l_l_o_gs 64956.80 241.00 242.81 3.01
mo_s_m_c_gs 580.00 580.00 1.27 1.26
S_s_l_c_gs 186.20 185.00 1.12 1.09
S_s_m_c_gs 182.00 182.00 0.95 0.93
pq_s_l_c_gs 101.80 101.00 0.99 0.97
r_l_m_c_gs 184.60 184.00 1.01 0.99
s_e_m_c_gs 183.00 183.00 0.98 0.97
R_e_l_c_gs 187.00 186.00 1.19 1.18
L_s_m_c_gs 182.00 182.00 1.00 0.99
pq_l_m_o_gs 151.00 151.00 2.14 2.13
L_e_l_c_gs 187.00 186.00 1.20 1.17
d_s_l_c_gs 188.20 187.00 1.17 1.16
d_e_m_c_gs 186.60 181.00 1.16 1.13
r_e_m_c_gs 184.00 184.00 1.02 1.02
R_l_l_o_gs -- -- -- --
R_l_m_o_gs 249.40 242.00 2.43 2.40
d_l_m_c_gs 180.80 180.00 1.18 1.16
pq_l_l_o_gs 151.00 151.00 2.16 2.16
L_l_l_o_gs -- -- -- --
s_s_m_c_gs 182.00 182.00 0.95 0.94
s_e_l_c_gs 187.60 186.00 1.16 1.11
S_l_l_c_gs 188.00 186.00 1.22 1.17
d_l_l_o_gs 248.00 248.00 2.80 2.78
r_l_l_c_gs 188.00 186.00 1.21 1.17
l_s_m_c_gs 183.00 183.00 0.98 0.97
l_s_l_c_gs 187.60 186.00 1.14 1.09
l_e_l_c_gs 187.20 186.00 1.17 1.15
mo_s_l_c_gs 5613.60 844.00 6.21 1.66
pq_l_l_c_gs 102.40 102.00 1.04 1.03
S_l_m_c_gs 184.60 184.00 1.03 1.01
pq_e_l_c_gs 101.60 101.00 1.00 0.98
r_l_m_o_gs 78944.40 241.00 482.31 2.44
L_l_l_c_gs 188.00 186.00 1.22 1.17
L_l_m_c_gs 184.80 184.00 1.03 1.01
r_s_m_c_gs 183.00 183.00 0.99 0.98
l_l_l_o_gs -- -- -- --
R_s_l_c_gs 187.60 186.00 1.16 1.10

Best configurations

['L_e_l_c_gs', 'L_e_m_c_gs', 'L_l_l_c_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_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_m_c_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_m_c_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 :
  1. 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
  2. B is the aggregation function. We denote by
    • l : Lexicographic order
    • s : Sum of the elements
    • e : Euclidean norm
  3. C is the exploration criteria. We denote by
    • l : Lexicographic exploration
    • m : Middle towars sides
  4. D is the Branching parameter. We denote by
    • o : Option
    • c : Class
  5. 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