Reducing global forest losses is essential to mitigate climate change and its associated
social costs. Multiple market and non-market factors can enhance or reduce forest loss …

Emergency care necessitates adequate and timely treatment, which has unfortunately been
compromised by crowding in many emergency departments (EDs). To address this issue …

In bike sharing systems (BSSs), the uncoordinated movements of customers using bikes
lead to empty or congested stations, which causes a significant loss in customer demand. In …

We introduce a novel scheme based on a blending of Fourier-Motzkin elimination (FME) and
adjustable robust optimization techniques to compute the maximum volume inscribed …

In this paper, we focus on a subclass of quadratic optimization problems, that is, disjoint
bilinear optimization problems. We first show that disjoint bilinear optimization problems can …

In robust optimization, the general aim is to find a solution that performs well over a set of
possible parameter outcomes, the so-called uncertainty set. In this paper, we assume that …

We consider a system with an evolving state that can be stopped at any time by a decision
maker (DM), yielding a state-dependent reward. The DM does not observe the state except …

This open access book will examine the implications of digitalization for the understanding
of humanity, conceived as a community of intelligent agency. It addresses important topics …

In this paper, we consider the multi-period joint capacity allocation and job assignment
problem. The goal of the planner is to simultaneously decide on allocating resources across …

Few land-allocation models consider the impact of off-farm income on tropical deforestation.
We provide a concept to integrate off-farm income in a mechanistic multiple-objective land …