Title
MIP reformulations of the probabilistic set covering problem
Abstract
In this paper, we address the following probabilistic version (PSC) of the set covering problem: where A is a 0-1 matrix, is a random 0-1 vector and is the threshold probability level. We introduce the concepts of p-inefficiency and polarity cuts. While the former is aimed at deriving an equivalent MIP reformulation of (PSC), the latter is used as a strengthening device to obtain a stronger formulation. Simplifications of the MIP model which result when one of the following conditions hold are briefly discussed: A is a balanced matrix, A has the circular ones property, the components of are pairwise independent, the distribution function of is a stationary distribution or has the disjunctive shattering property. We corroborate our theoretical findings by an extensive computational experiment on a test-bed consisting of almost 10,000 probabilistic instances. This test-bed was created using deterministic instances from the literature and consists of probabilistic variants of the set covering model and capacitated versions of facility location, warehouse location and k-median models. Our computational results show that our procedure is orders of magnitude faster than any of the existing approaches to solve (PSC), and in many cases can reduce hours of computing time to a fraction of a second.
Year
DOI
Venue
2010
10.1007/s10107-008-0224-y
Math. Program.
Keywords
Field
DocType
computational result,mip model,probabilistic variant,facility location,equivalent mip reformulation,following probabilistic version,balanced matrix,probabilistic instance,distribution function,mip reformulations,extensive computational experiment,test bed,set covering problem,computer experiment,set cover,stationary distribution
Discrete mathematics,Mathematical optimization,Cutting-plane method,Matrix (mathematics),Balanced matrix,Multivariate random variable,Pairwise independence,Stationary distribution,Probabilistic logic,Distribution function,Mathematics
Journal
Volume
Issue
ISSN
121
1
1436-4646
Citations 
PageRank 
References 
28
2.00
12
Authors
3
Name
Order
Citations
PageRank
Anureet Saxena11677.42
Vineet Goyal215610.88
Miguel A. Lejeune325321.95