This article presents a review and a classification of interactive optimization methods. These
interactive methods are used for solving optimization problems. The interaction with an end …

Interactive reoptimization is an approach for progressively adjusting a candidate solution in
order to introduce aspects of a problem that have not been entirely captured by the …

Abstract Structure plays a key role in learning performance. In centralized computational
systems, hyperparameter optimization and regularization techniques such as dropout are …

The nurse rerostering problem is a special case rostering problem. Rerostering occurs when
a disruption to a current nurse roster requires its reconstruction. This article presents a …

The coordination of heterogeneous robotic teams demands suitable planning algorithms
based on an appropriate model of the problem instance. While there exists a great variety of …

This paper presents an experimental study conducted with subjects on an interactive
reoptimization method applied to a shift scheduling problem. The studied task is the …

In cloud environments, hardware configurations, data usage, and workload allocations are
continuously changing. These changes make it difficult for the query optimizer of a cloud …

This work would have been impossible to be accomplished all by my own. Many people
have provided their support, encouragement to me during these years. First of all, I would …

This dissertation explores and investigates the interplay between processes of improvisation
and trust within collectives composed of human and synthetic agents. Observations and …

As a basic principle, look-ahead approaches investigate the outcomes of potential future
steps to evaluate the quality of alternative search directions. Different policies exist to set up …