Capacitated network design using general flow-cutset inequalities

This paper deals with directed, bidirected, and undirected capacitated network design problems. Using mixed integer rounding (MIR), we generalize flow-cutset inequalities to these three link types and to an arbitrary modular link capacity structure, and propose a generic separation algorithm. In an extensive computational study on 54 instances from the Survivable Network Design Library (SNDlib), … Read more

A Routing and Network Dimensioning Strategy to reduce Wavelength Continuity Conflicts in All-Optical Networks

Due to the high computational complexity of exact methods (e.g., integer programming) for routing and wavelength assigment in optical networks, it is beneficial to decompose the problem into a routing task and a wavelength allocation task. However, by this decomposition it is not necessarily possible to obtain a valid wavelength assignment for a given routing … Read more

The Mixing-MIR Set with Divisible Capacities

We study the set $S = \{(x, y) \in \Re_{+} \times Z^{n}: x + B_{j} y_{j} \geq b_{j}, j = 1, \ldots, n\}$, where $B_{j}, b_{j} \in \Re_{+} – \{0\}$, $j = 1, \ldots, n$, and $B_{1} | \cdots | B_{n}$. The set $S$ generalizes the mixed-integer rounding (MIR) set of Nemhauser and Wolsey and … Read more

Lookahead Branching for Mixed Integer Programming

We consider the effectiveness of a lookahead branching method for the selection of branching variable in branch-and-bound method for mixed integer programming. Specifically, we ask the following question: by taking into account the impact of the current branching decision on the bounds of the child nodes two levels deeper than the current node, can better … Read more

n-step MIR Functions: Facets for Finite and Infinite Group Problems

The n-step mixed integer rounding (MIR) functions are used to generate n-step MIR inequalities for (mixed) integer programming problems (Kianfar and Fathi, 2006). We show that these functions are sources for generating extreme valid inequalities (facets) for group problems. We first prove the n-step MIR function, for any positive integer n, generates two-slope facets for … Read more

Generalized Mixed Integer Rounding Valid Inequalities

We present new families of valid inequalities for (mixed) integer programming (MIP) problems. These valid inequalities are based on a generalization of the 2-step mixed integer rounding (MIR), proposed by Dash and Günlük (2006). We prove that for any positive integer n, n facets of a certain (n+1)-dimensional mixed integer set can be obtained through … Read more

On the strength of Gomory mixed-integer cuts as group cuts

Gomory mixed-integer (GMI) cuts generated from optimal simplex tableaus are known to be useful in solving mixed-integer programs. Further, it is well-known that GMI cuts can be derived from facets of Gomory’s master cyclic group polyhedron and its mixed-integer extension studied by Gomory and Johnson. In this paper we examine why cutting planes derived from … Read more

Linear Programming Based Lifting and its Application to Primal Cutting Plane Algorithms

We propose an approximate lifting procedure for general integer programs. This lifting procedure uses information from multiple constraints of the problem formulation and can be used to strengthen formulations and cuts for mixed integer programs. In particular we demonstrate how it can be applied to improve Gomory’s fractional cut which is central to Glover’s primal … Read more

New Inequalities for Finite and Infinite Group Problems from Approximate Lifting

In this paper, we derive new families of piecewise linear facet-defining inequalities for the finite group problem and extreme inequalities for the infinite group problem using approximate lifting. The new valid inequalities for the finite group problem are two- and three-slope facet-defining inequalities as well as the first family of four-slope facet-defining inequalities. The new … Read more

Lot sizing with inventory gains

This paper introduces the single item lot sizing problem with inventory gains. This problem is a generalization of the classical single item capacitated lot sizing problem to one in which stock is not conserved. That is, the stock in inventory undergoes a transformation in each period that is independent of the period in which the … Read more