Instance pb_400_10 using AtMostSeqCard
NODES
TIME
avg
min
avg
min
r_l_l_c_am -- -- -- --
l_l_l_c_am -- -- -- --
l_l_m_o_am -- -- -- --
pq_l_l_c_am -- -- -- --
pq_l_m_c_am -- -- -- --
d_e_l_c_am 2856633.80 304.00 480.73 0.09
d_s_m_c_am -- -- -- --
d_l_l_c_am 3973721.20 321.00 960.94 0.10
d_l_l_o_am -- -- -- --
l_l_m_c_am -- -- -- --
pq_l_l_o_am -- -- -- --
pq_l_m_o_am -- -- -- --
s_e_m_c_am -- -- -- --
s_s_m_c_am -- -- -- --
pq_e_m_c_am -- -- -- --
s_s_l_c_am -- -- -- --
d_l_m_c_am 5548062.00 315.00 961.39 0.09
s_l_l_c_am -- -- -- --
d_s_l_c_am -- -- -- --
s_e_l_c_am -- -- -- --
s_l_l_o_am -- -- -- --
r_l_l_o_am 6583704.40 2339102.00 845.74 307.36
r_e_m_c_am -- -- -- --
s_l_m_c_am -- -- -- --
r_l_m_c_am -- -- -- --
s_l_m_o_am -- -- -- --
l_e_m_c_am -- -- -- --
pq_s_m_c_am -- -- -- --
pq_s_l_c_am -- -- -- --
l_s_l_c_am -- -- -- --
r_s_l_c_am -- -- -- --
r_e_l_c_am -- -- -- --
l_s_m_c_am -- -- -- --
mo_s_l_c_am -- -- -- --
mo_s_m_c_am -- -- -- --
r_l_m_o_am 651604.60 630988.00 87.27 80.48
l_l_l_o_am -- -- -- --
pq_e_l_c_am -- -- -- --
d_e_m_c_am 6044311.60 320.00 962.57 0.10
d_l_m_o_am -- -- -- --
l_e_l_c_am -- -- -- --
r_s_m_c_am -- -- -- --

Best configurations

['r_l_m_o_am']

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