Stability analysis by the objective function of some integer programming algorithms
In this paper we define the notion of the stability with respect to the objective function for a wide class of integer linear programming algorithms. We study the stability of some of them under small variations of coefficients in the objective function. We prove the existence of both stable and unstable versions of the <i>L</i>-class enumeration algorithms. We show that some branch and bound algorithms, as well as some decomposition algorithms with Benders cuts, are unstable. We propose a modification of the considered decomposition algorithms that makes the latter stable with respect to the objective function.