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Benders decomposition for network design covering problems

Authors

Bucarey, Victor , Fortz, Bernard , GONZALEZ BLANCO, NATIVIDAD, Labbe, Martine , Mesa, Juan A.

External publication

No

Means

Comput. Oper. Res.

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

JCR Impact

4.6

SJR Impact

1.716

Publication date

01/01/2022

ISI

000704296500009

Abstract

We consider two covering variants of the network design problem. We are given a set of origin/destination pairs, called O/D pairs, and each such O/D pair is covered if there exists a path in the network from the origin to the destination whose length is not larger than a given threshold. In the first problem, called the Maximal Covering Network Design problem, one must determine a network that maximizes the total fulfilled demand of the covered O/D pairs subject to a budget constraint on the design costs of the network. In the second problem, called the Partial Covering Network Design problem, the design cost is minimized while a lower bound is set on the total demand covered. After presenting formulations, we develop a Benders decomposition approach to solve the problems. Further, we consider several stabilization methods to determine Benders cuts as well as the addition of cut-set inequalities to the master problem. We also consider the impact of adding an initial solution to our methods. Computational experiments show the efficiency of these different aspects.

Keywords

Facility planning and design; Benders decomposition; Network design; Rapid transit network