Instance 75_08 using the Global Sequencing Constraint
NODES
TIME
avg
min
avg
min
s_l_l_c_gs 175.00 174.00 1.00 0.97
r_e_l_c_gs 179.60 177.00 1.11 1.06
pq_e_m_c_gs 158.80 156.00 0.95 0.93
R_s_m_c_gs 173.80 173.00 0.89 0.88
L_e_m_c_gs 173.00 172.00 0.86 0.85
R_l_m_c_gs 173.20 172.00 0.89 0.88
L_l_m_o_gs 292.80 289.00 1.79 1.77
d_s_m_c_gs 178.80 178.00 0.97 0.95
d_l_l_c_gs 175.40 171.00 1.12 1.11
d_e_l_c_gs 182.40 180.00 1.14 1.12
s_l_m_c_gs 175.20 173.00 0.90 0.86
s_l_m_o_gs -- -- -- --
S_l_l_o_gs -- -- -- --
l_l_l_c_gs 175.00 174.00 0.99 0.96
l_l_m_c_gs 173.00 171.00 0.88 0.85
s_s_l_c_gs 179.60 177.00 1.11 1.06
L_s_l_c_gs 179.80 179.00 1.09 1.08
r_s_l_c_gs 179.60 177.00 1.11 1.06
R_e_m_c_gs 173.80 173.00 0.88 0.87
R_l_l_c_gs 178.40 176.00 1.06 1.03
S_e_m_c_gs 174.00 172.00 0.88 0.86
S_l_m_o_gs -- -- -- --
r_l_l_o_gs 293.20 291.00 2.35 2.33
l_e_m_c_gs 175.80 175.00 0.94 0.94
pq_s_m_c_gs 159.80 156.00 0.95 0.93
pq_l_m_c_gs 159.60 157.00 0.95 0.95
l_l_m_o_gs 294.20 290.00 1.80 1.76
S_e_l_c_gs 179.80 179.00 1.10 1.09
d_l_m_o_gs -- -- -- --
s_l_l_o_gs -- -- -- --
mo_s_m_c_gs 464625.20 24822.00 255.00 14.78
S_s_l_c_gs 179.80 179.00 1.10 1.09
S_s_m_c_gs 174.00 172.00 0.88 0.87
pq_s_l_c_gs 155.60 155.00 1.01 1.00
r_l_m_c_gs 172.60 172.00 0.89 0.86
s_e_m_c_gs 174.80 173.00 0.93 0.91
R_e_l_c_gs 179.80 179.00 1.10 1.09
L_s_m_c_gs 173.00 172.00 0.86 0.85
pq_l_m_o_gs 266.00 266.00 2.90 2.88
L_e_l_c_gs 179.80 179.00 1.09 1.08
d_s_l_c_gs 184.00 182.00 1.15 1.15
d_e_m_c_gs 180.60 177.00 1.01 1.00
r_e_m_c_gs 176.20 175.00 0.95 0.94
R_l_l_o_gs 294.80 293.00 2.28 2.26
R_l_m_o_gs 298.00 297.00 2.09 2.09
d_l_m_c_gs 174.40 173.00 1.01 1.00
pq_l_l_o_gs 269.00 269.00 3.16 3.15
L_l_l_o_gs 293.60 290.00 2.03 2.01
s_s_m_c_gs 174.80 173.00 0.92 0.91
s_e_l_c_gs 179.60 177.00 1.10 1.06
S_l_l_c_gs 178.40 176.00 1.06 1.04
d_l_l_o_gs -- -- -- --
r_l_l_c_gs 175.00 174.00 1.01 0.98
l_s_m_c_gs 175.80 175.00 0.94 0.93
l_s_l_c_gs 179.60 177.00 1.10 1.04
l_e_l_c_gs 179.60 177.00 1.11 1.05
mo_s_l_c_gs -- -- -- --
pq_l_l_c_gs 154.20 152.00 1.04 1.02
S_l_m_c_gs 172.40 170.00 0.89 0.87
pq_e_l_c_gs 154.20 152.00 1.03 1.02
r_l_m_o_gs 295.80 294.00 2.11 2.10
L_l_l_c_gs 178.40 176.00 1.05 1.02
L_l_m_c_gs 175.00 173.00 0.89 0.87
r_s_m_c_gs 176.00 175.00 0.95 0.93
l_l_l_o_gs 296.80 295.00 2.04 2.01
R_s_l_c_gs 179.80 179.00 1.11 1.09

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_m_c_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', '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 :
  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