Article ID: | iaor20114508 |
Volume: | 212 |
Issue: | 3 |
Start Page Number: | 433 |
End Page Number: | 444 |
Publication Date: | Aug 2011 |
Journal: | European Journal of Operational Research |
Authors: | Carlier Jacques, Jouglet Antoine |
Keywords: | stochastic dominance |
The aim of this paper is to study the concept of a ‘dominance rule’ in the context of combinatorial optimization. A dominance rule is established in order to reduce the solution space of a problem by adding new constraints to it, either in a procedure that aims to reduce the domains of variables, or directly in building interesting solutions. Dominance rules have been extensively used over the last 50 years. Surprisingly, to our knowledge, no detailed description of them can be found in the literature other than a few short formal descriptions in the context of enumerative methods. We are therefore proposing an investigation into what dominance rules are. We first provide a definition of a dominance rule with its different nuances. Next, we analyze how dominance rules are generally formulated and what are the consequences of such formulations. Finally, we enumerate the common characteristics of dominance rules encountered in the literature and in the usual process of solving combinatorial optimization problems.