This editorial of the special issue “Representing, Processing, and Learning Preferences:
Theoretical and Practical Challenges” surveys past and ongoing research on preferences in …

Robotic systems need to be able to plan control actions that are robust to the inherent
uncertainty in the real world. This uncertainty arises due to uncertain state estimation …

Crop rotations are allocations by growers of crop types to specific fields through time. This
paper aims at presenting (i) a systematic and rigorous mathematical representation of crops …

An online optimal control strategy for power flow management in microgrids with on-site
battery, renewable energy sources, and integrated electric vehicles (EVs) is presented in …

Future self-driving cars and current ones with advanced driver assistance systems are
expected to interact with other traffic participants, which often are multiple other vehicles …

Current approaches that model dynamism in DCOPs solve a sequence of static problems,
reacting to changes in the environment as the agents observe them. Such approaches thus …

ABSTRACT The Distributed Constraint Optimization Problem (DCOP) formulation is a
powerful tool for modeling multi-agent coordination problems. Researchers have recently …

Abstract This paper presents Constraint Programming as a natural formalism for modelling
problems, and as a flexible platform for solving them. CP has a range of techniques for …

This paper presents a novel mathematical programming approach to the single-machine
capacitated lot-sizing and scheduling problem with sequence-dependent setup times and …

In this paper we address the general multi-period production/inventory problem with non-
stationary stochastic demand and supplier lead-time under service level constraints. A …