Planning problems in passenger railway range from long term strategic decision making to
the detailed planning of operations. Operations research methods have played an …

While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

Set-valued optimization is a vibrant and expanding branch of applied mathematics that
deals with optimization problems where the objective map and/or the constraint maps are …

In this paper we survey the main studies dealing with the train timetabling problem in its
nominal and robust versions. Roughly speaking, the nominal version of the problem …

Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

The problem of defining suitable lines in a public transportation system (bus, railway, tram,
or underground) is an important real-world problem that has also been well researched in …

In this paper, we discuss various concepts of robustness for uncertain multi-objective
optimization problems. We extend the concepts of flimsily, highly, and lightly robust …

In this work, we consider the problem of scheduling a set of trains (ie, determining their
departure and arrival times at the visited stations) and simultaneously deciding their …

The performance of a container terminal heavily relies on how efficiently the quayside
resources, which are mainly berth and quay cranes, are used. The quayside related …

This article presents a novel approach to incorporate the aircraft turnaround, which has
recently been identified as one of the major contributors to airline delay, into existing …