Evolution as a Tool to Design Self-organizing Systems

Abstract : 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.
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Communication dans un congrès
David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Wilfried Elmenreich; Falko Dressler; Vittorio Loreto; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. Springer, Lecture Notes in Computer Science, LNCS-8221, pp.139-144, 2014, Self-Organizing Systems. 〈10.1007/978-3-642-54140-7_12〉
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István Fehérvári, Wilfried Elmenreich. Evolution as a Tool to Design Self-organizing Systems. David Hutchison; Takeo Kanade; Madhu Sudan; Demetri Terzopoulos; Doug Tygar; Moshe Y. Vardi; Gerhard Weikum; Wilfried Elmenreich; Falko Dressler; Vittorio Loreto; Josef Kittler; Jon M. Kleinberg; Friedemann Mattern; John C. Mitchell; Moni Naor; Oscar Nierstrasz; C. Pandu Rangan; Bernhard Steffen. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. Springer, Lecture Notes in Computer Science, LNCS-8221, pp.139-144, 2014, Self-Organizing Systems. 〈10.1007/978-3-642-54140-7_12〉. 〈hal-01291509〉

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