Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
This article addresses the problem of efficient multi-robot patrolling in a known environment. The proposed approach assigns regions to each mobile agent. Every region is represen...
Shelf space allocation is the problem of efficiently arranging retail products on shelves in order to maximise profit, improve stock control, improve customer satisfaction, etc. ...
Indicator-based algorithms have become a very popular approach to solve multi-objective optimization problems. In this paper, we contribute to the theoretical understanding of alg...
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...