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mclpif

Maximal Covering Location Problem with Interconnected facilities

Detailed results of our computational experiments for the manuscript "Continuous maximal covering location problems\with interconnected facilities" by Víctor Blanco y Ricardo Gázquez.

In particular:

  • Instances: based on the 50-points data set in (Eilon, S., Watson-Gandy, C. D.~T., and Christofides, N. (1971). Distribution management : mathematical modelling and practical analysis. Folder "instances" in the form eilonN_i.csv where N is the number of demand points (N in {10, 20, 30, 40, 50} and i the instance (i in {1,2,3,4,5}).
  • Results: Organized by graph structure. GraphType in {Cycle, Line, Complete, Matching, Ring, RingStar} in files GraphType_Results.csv with columns:
    • instance: file
    • GraphType
    • n: number of demand points
    • p: centers to be located
    • R: Coverage radius
    • r: limit radius between facilities
    • obj_NL: Objective value for the MINLP formulation.
    • Time_NL: CPU Time for the MINLP formulation.
    • Relax_NL: Root node relaxation of the MINLP formulation.
    • Gap_NL: MIPGap for the MINLP formulation within the time limit (3600 secs)
    • C_NL: Clusters of points obtained with the MINLP formulation.
    • obj_IP1: Objective value for the Incomplete formulation (INC1).
    • Time_IP1: CPU Time for solving the IP problem with the Incomplete formulation (INC1).
    • Relax_IP1: Root notde relaxation for the Incomplete formulation (INC1).
    • LC_IP1: # of Linear constraints for the Incomplete formulation (INC1).
    • numcuts_IP1: # of Cuts in the B-&-C skeme for the Incomplete formulation (INC1).
    • TConstrGen_IP1: CPU time required to generate constraints for the Incomplete formulation (INC1).
    • TotalT_IP1: Total CPU time for the Incomplete formulation (INC1) to solve the problem.
    • GapIP1: MIPGap for the Incomplete formulation (INC1) within the time limit (3600 secs).
    • C_IP1: Clusters of points obtained with formulation (INC1).
    • obj_IP2: Objective value for the Incomplete formulation (INC2).
    • Time_IP2: CPU Time for solving the IP problem with the Incomplete formulation (INC2).
    • Relax_IP2: Root notde relaxation for the Incomplete formulation (IN2).
    • LC_IP2: # of Linear constraints for the Incomplete formulation (INC2).
    • numcuts_IP2: # of Cuts in the B-&-C skeme for the Incomplete formulation (INC2).
    • TConstrGen_IP2: CPU time required to generate constraints for the Incomplete formulation (INC2).
    • TotalT_IP2: Total CPU time for the Incomplete formulation (INC1) to solve the problem.
    • GapIP2: MIPGap for the Incomplete formulation (INC2) within the time limit (3600 secs).
    • C_IP2: Clusters of points obtained with formulation (INC2).

We also report a file with the results obtained with the compact formulation (file CompactIP_Results.csv) with the following information:

  • obj_IP: objective value.
  • IP_Time: CPU time required to solve the IP problem.
  • COntrGen_Time: CPU Time required to incorporate the constraints to the model.
  • Tot_Time: Total CPU time (IP_Time + COnctr_Time)
  • #Ball_Ctrs: Number of ball-type constraints.
  • #O_Ctrs: Number of O-sets constraints.
  • #All_Ctrs: Total number of constraints.
  • Gap: MIP Gap for the IP formulation within the time limit (3600 secs)
  • OoM: 1 if the problem got a Out Of Memory Flag in Gurobi; 0 otherwise.

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Maximal Covering Location Problem with Interconnected facilities

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