The set covering problem revisited: an empirical study of the value of dual information

This is the latest version of this item.

Abstract

This paper investigates the role of dual information on the performances of heuristics designed for solving the set covering problem. After solving the linear programming relaxation of the problem, the dual information is used to obtain the two main approaches proposed here: (i) The size of the original problem is reduced and then the resulting model is solved with exact methods. We demonstrate the effectiveness of this approach on a rich set of benchmark instances compiled from the literature. We conclude that set covering problems of various characteristics and sizes may reliably be solved to near optimality without resorting to custom solution methods. (ii) The dual information is embedded into an existing heuristic. This approach is demonstrated on a well-known local search based heuristic that was reported to obtain the most successful results on the set covering problem to this day. Our results demonstrate that the use of dual information significantly improves the efficacy of the heuristic both in terms of solution time and accuracy.

Available Versions of this Item

• Taming the set covering problem: the value of dual information. (deposited 09 Nov 2010 14:44)
  • The set covering problem revisited: an empirical study of the value of dual information. (deposited 27 Sep 2012 23:22) [Currently Displayed]