THESIS DEFENSE :: Cutting Planes for Large Mixed Integer Programming Models

Event Details
  • Date/Time:
    • Thursday November 9, 2006
      11:00 am - 10:59 pm
  • Location: Groseclose, second-floor conference room
  • Phone:
  • URL:
  • Email:
  • Fee(s):
  • Extras:
Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher

Summary Sentence: THESIS DEFENSE :: Cutting Planes for Large Mixed Integer Programming Models

Full Summary: THESIS DEFENSE :: Cutting Planes for Large Mixed Integer Programming Models

In this thesis I focus on cutting planes for large Mixed Integer Programming (MIP) problems. More specifically, I focus on two independent cutting planes studies. The first of these deals with cutting planes for the Traveling Salesman Problem (TSP), and the second with cutting planes for general MIPs.

In the first study I introduce a new class of cutting planes which I call the Generalized Domino Parity (GDP) inequalities. My main achievements with regard to these are: (1) I show that these are valid for the TSP and for the graphical TSP. (2) I show that they generalize most well-known TSP inequalities (including combs, domino-parity constraints, clique-trees, bipartitions, paths and stars). (3) I show that a sub-class of these (which contains all clique-tree inequalities w/ a fixed number of handles) can be separated in polynomial time, on planar graphs.

My second study can be subdivided in two parts. In the first of these I study the Mixed Integer Knapsack Problem (MIKP) and develop a branch-and-bound based algorithm for solving it. The novelty of the approach is that it exploits the notion of "dominance" in order to effectively prune solutions in the branch-and-bound tree. In the second part, I develop a Mixed Integer Rounding (MIR) cut separation heuristic, and embed the MIKP solver in a column generation algorithm in order to assess the performance of said heuristic. The goal of this study is to understand why no other class of inequalities derived from single-row systems has been able to outperform the MIR. Computational results are presented.

Please feel free to browse through my thesis draft, which can be found in pdf format at

Additional Information

In Campus Calendar

School of Industrial and Systems Engineering (ISYE)

Invited Audience
No audiences were selected.
No keywords were submitted.
  • Created By: Barbara Christopher
  • Workflow Status: Published
  • Created On: Oct 8, 2010 - 7:32am
  • Last Updated: Oct 7, 2016 - 9:52pm