Analyzing quadratic unconstrained binary optimization problems via multicommodity flows

11Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

Quadratic Unconstrained Binary Optimization (QUBO) problems concern the minimization of quadratic polynomials in n {0, 1}-valued variables. These problems are NP-complete, but prior work has identified a sequence of polynomial-time computable lower bounds on the minimum value, denoted by C2, C3, C4, .... It is known that C2 can be computed by solving a maximum flow problem, whereas the only previously known algorithms for computing Ck (k > 2) require solving a linear program. In this paper we prove that C3 can be computed by solving a maximum multicommodity flow problem in a graph constructed from the quadratic function. In addition to providing a lower bound on the minimum value of the quadratic function on {0, 1}n, this multicommodity flow problem also provides some information about the coordinates of the point where this minimum is achieved. By looking at the edges that are never saturated in any maximum multicommodity flow, we can identify relational persistencies: pairs of variables that must have the same or different values in any minimizing assignment. We furthermore show that all of these persistencies can be detected by solving single-commodity flow problems in the same network. © 2009 Elsevier B.V.

Cite

CITATION STYLE

APA

Wang, D., & Kleinberg, R. (2009). Analyzing quadratic unconstrained binary optimization problems via multicommodity flows. Discrete Applied Mathematics, 157(18), 3746–3753. https://doi.org/10.1016/j.dam.2009.07.009

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free