For many combinatorial problems, finding a single solution is not enough. This is clearly the
case for multi-objective optimization problems, as they have no single “best solution” and …

Abstract The 2D Multi-Agent Path Finding (MAPF) problem aims at finding collision-free
paths for a number of agents, from a set of start locations to a set of goal positions in a …

This article reviews two decades of research in topics in Information Visualisation emerging
from the Data Visualisation and Immersive Analytics Lab at Monash University Australia …

Decision systems for solving real-world combinatorial problems must be able to report
infeasibility in such a way that users can understand the reasons behind it, and understand …

Energy companies are considering producing renewable fuels such as hydrogen/ammonia.
Setting up a production network means deciding where to build production plants, and how …

Decision systems for solving real-world combinatorial problems must be able to report
infeasibility in such a way that users can understand the reasons behind it, and determine …

An adequate plant layout expedites the production process, optimizing time and resources
to improve the industrial system's performance. This work presents the plant layout of a …

In this chapter, we discuss artificial intelligence (AI) and its impact on automation. We
explain what AI is, namely, the study of intelligent agents, and explain a variety of AI …