Bike sharing systems have been installed in many cities around the world and are
increasing in popularity. A major operational cost driver in these systems is rebalancing the …

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 …

The static bike rebalancing problem (SBRP) concerns the task of repositioning bikes among
stations in self-service bike-sharing systems. This problem can be seen as a variant of the …

We present the stochastic-dynamic inventory routing problem for bike sharing systems
(SDIRP). The objective of the SDIRP is to avoid unsatisfied demand by dynamically …

In this study, a capacitated vehicle routing problem (CVRP) which dealt with minimum
distance routes for vehicles that serve customers having specific demands from a common …

Car-sharing mobility is an emerging sustainable transportation mode, but it poses great
challenges to operators and urban traffic management due to the imbalance between supply …

Logic-based Benders decomposition (LBBD) is a substantial generalization of classical
Benders decomposition that, in principle, allows the subproblem to be any optimization …

Bike sharing systems have been launched in many cities. Such systems consist of stations
allowing users to rent and return bikes. Due to spatio-temporal variation of requests …

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 …

We consider the problem of designing vehicle routes in a distribution system that are at the
same time cost-effective and visually attractive. In this paper we argue that clustering, a …