This study considers the aircraft sequencing and scheduling problem under the uncertainty
of arrival and departure delays for multiple heterogeneous mixed-mode parallel runways. To …

Robust optimization is a young and emerging field of research having received a
considerable increase of interest over the last decade. In this paper, we argue that the …

In this chapter a review of recent results on robust discrete optimization is presented. The
most popular discrete and interval uncertainty representations are discussed. Various robust …

Airport congestion witnesses potential conflicts: insufficient terminal airspace and delay
propagation within scrambled the competition in the terminal manoeuvring area. Re …

We investigate the recoverable robust single machine scheduling problem under interval
uncertainty. In this setting, jobs have first-stage processing times p and second-stage …

Balancing U-type assembly lines under uncertainty is addressed in this paper by formulating
a robust problem and developing its optimization model and algorithm. U-type assembly …

Line balancing aims to assign the assembly tasks to the stations that compose the assembly
line. A recent body of literature has been devoted to heterogeneity in the assembly process …

Single machine scheduling is a classical optimization problem that depicts multiple real life
systems in which a single resource (the machine) represents the whole system or the …

We consider the generalized assignment problem (GAP) with min-max regret criterion under
interval costs. This problem models many real-world applications in which jobs must be …

We consider a generalization of the 0–1 knapsack problem in which the profit of each item
can take any value in a range characterized by a minimum and a maximum possible profit. A …