ASSISIbf / University of Graz (AT), Universite Paris Diderot (FR), Ecole Polytechnique Federale de Lausanne, University of Zagreb, FCiencias.ID (DE)
University of Graz (AT), Université Paris Diderot (FR), École Polytechnique Fédérale de Lausanne (CH),
University of Zagreb (HR), FCiências.ID (PT), Cybertronica Research (DE)
Networks are ubiquitous in our world today and are growing and complexifying at a global scale,
from traffic and logistics to social networks and the Internet of Things. Optimal design of such networks is a difficult task, exploding in complexity with network size and connectivity. Thus, smart heuristics are a key technology – using randomized guessing as a form of provoked error is central to
their functionality.
Credit: Artificial Life Lab Graz
ASSISIbf / University of Graz (AT), Universite Paris Diderot (FR), Ecole Polytechnique Federale de Lausanne, University of Zagreb, FCiencias.ID (DE)
University of Graz (AT), Université Paris Diderot (FR), École Polytechnique Fédérale de Lausanne (CH),
University of Zagreb (HR), FCiências.ID (PT), Cybertronica Research (DE)
Networks are ubiquitous in our world today and are growing and complexifying at a global scale,
from traffic and logistics to social networks and the Internet of Things. Optimal design of such networks is a difficult task, exploding in complexity with network size and connectivity. Thus, smart heuristics are a key technology – using randomized guessing as a form of provoked error is central to
their functionality.
Credit: Artificial Life Lab Graz