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The minimum distance superset problem: formulations and algorithms

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The minimum distance superset problem

This repository contains the code used to recriate the experiments described on the paper The minimum distance superset problem: formulations and algorithms.

Models

Inside the model module we have the five models described in the paper:

  • Quadratic formulation (QP)
  • Reformulation-linearization technique (RLT)
  • Integer formulation (IP)
  • Feasible solution search (FEAS)
  • Maximization search (MAX)

Instances

In the generator module we have the code responsible for generating the instances tested. According to the paper we divide these instances in four categories:

  • Full instances (full)
  • Missing distance instances (miss)
  • Joint instances (joint)
  • Random instances (drand)

Logs

In the logs folder, for each pair of instance type and model there is a folder containing the logs of each instance. For each instance there are four related files (.log, .lp, .sol, .time).

  • The .log file has the information exported by the solver (gurobi) during the process
  • The .lp file has the (latest) model of the problem for that instance
  • The .sol file has the best solution found for the the model
  • The .time file contains all the elapsed times for each optimzation, along with their status

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