Title
Optimization Bounds from Binary Decision Diagrams
Abstract
<P>We explore the idea of obtaining bounds on the value of an optimization problem from a discrete relaxation based on binary decision diagrams (BDDs). We show how to construct a BDD that represents a relaxation of a 0-1 optimization problem, and how to obtain a bound for a separable objective function by solving a shortest (or longest) path problem in the BDD. As a test case we apply the method to the maximum independent set problem on a graph. We find that for most problem instances, it delivers tighter bounds in less computation time, than state-of-the-art integer programming software obtains by solving a continuous relaxation augmented with cutting planes.</P>
Year
DOI
Venue
2014
10.1287/ijoc.2013.0561
INFORMS Journal on Computing
Keywords
DocType
Volume
binary decision diagrams,independent set,relaxations
Journal
26
Issue
ISSN
Citations 
2
1091-9856
17
PageRank 
References 
Authors
0.67
18
4
Name
Order
Citations
PageRank
David Bergman1377.54
André A. Ciré29412.87
Willem Jan Van Hoeve351739.54
J. N. Hooker41566211.17