The Benders decomposition algorithm has been successfully applied to a wide range of
difficult optimization problems. This paper presents a state-of-the-art survey of this algorithm …

Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

We address a network design problem arising in the deployment of wireless charging
stations (WCSs) within an urban transportation network. It is widely acknowledged that …

The importance of curbside management is quickly growing in a modernized urban setting.
Dynamic allocation of curb space to different usages and dynamic pricing for those usages …

Abstract Condition-Based Maintenance (CBM) is an effective maintenance strategy to
improve system performance while lowering operating and maintenance costs. Real-world …

Reducing energy consumption of mobile communication networks has gained significant
attentions since it takes a major part of the total energy consumption of information and …

We consider a problem arising in the design of green wireless local area networks.
Decisions on powering-on a set of access points (APs), via the assignment of one power …

Network operation and rehabilitation are major concerns for water utilities due to their impact
on providing a reliable and efficient service. Solving the optimization problems that arise in …

This paper manages congestion in the supply chain via dynamic freight routing and using
multi-modal facilities in different time periods of a year. The proposed mixed integer non …

This book is the first comprehensive guide to logic-based Benders decomposition (LBBD), a
general and versatile method for breaking large, complex optimization problems into …