Integer linear programming formulations for double roman domination problem

Qingqiong Cai, Neng Fan, Yongtang Shi, Shunyu Yao

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

For a graph G = (V,E), a double Roman dominating function (DRDF) is a function f:V → {0,1,2,3} having the property that if f(v) = 0, then vertex v must have at least two neighbours assigned 2 under f or at least one neighbour u with f(u) = 3, and if f(v) = 1, then vertex v must have at least one neighbour u with f(u) ≥ 2. In this paper, we consider the double Roman domination problem, which is an optimization problem of finding the DRDF f such that (Formula presented.) is minimum. We propose five integer linear programming (ILP) formulations and one mixed integer linear programming formulation with polynomial number of constraints for this problem. Some additional valid inequalities and bounds are also proposed for some of these formulations. Further, we prove that the first four models indeed solve the double Roman domination problem, and the last two models are equivalent to the others regardless of the variable relaxation or usage of a smaller number of constraints and variables. Additionally, we use one ILP formulation to give an H(2(∆ + 1)) -approximation algorithm. All proposed formulations and approximation algorithm are evaluated on randomly generated graphs to compare the performance.

Original languageEnglish (US)
JournalOptimization Methods and Software
DOIs
StateAccepted/In press - 2019

Keywords

  • Double roman domination
  • approximation algorithm
  • integer linear programming

ASJC Scopus subject areas

  • Software
  • Control and Optimization
  • Applied Mathematics

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