%0 Conference Proceedings
%T Evolution as a Tool to Design Self-organizing Systems
%+ Alpen-Adria-Universität Klagenfurt [Klagenfurt, Austria]
%A Fehérvári, István
%A Elmenreich, Wilfried
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 7th International Workshop on Self-Organizing Systems (IWSOS)
%C Palma de Mallorca, Spain
%Y David Hutchison
%Y Takeo Kanade
%Y Madhu Sudan
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Moshe Y. Vardi
%Y Gerhard Weikum
%Y Wilfried Elmenreich
%Y Falko Dressler
%Y Vittorio Loreto
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%Y Bernhard Steffen
%I Springer
%3 Self-Organizing Systems
%V LNCS-8221
%P 139-144
%8 2013-05-09
%D 2013
%R 10.1007/978-3-642-54140-7_12
%K self-organizing systems
%K evolutionary design
%K emergence
%K complexity
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X Self-organizing Systems exhibit numerous advantages such as robustness, adaptivity and scalability, and thus provide a solution for the increasing complexity we face within technical systems. While they are attractive solutions, due to their nature, designing self-organizing systems is not a straightforward task. Artificial evolution has been proposed as a possible way to build self-organizing systems, but there are still many open questions on how an engineer should apply this method for this purpose. In this paper we propose a design methodology for evolving self-organizing systems, that marks the major cornerstones and decisions the designer has to face, thus providing a practical set of guidelines.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01291509/document
%2 https://inria.hal.science/hal-01291509/file/978-3-642-54140-7_12_Chapter.pdf
%L hal-01291509
%U https://inria.hal.science/hal-01291509
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-8221