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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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István Fehérvári, Wilfried Elmenreich. Evolution as a Tool to Design Self-organizing Systems. 7th International Workshop on Self-Organizing Systems (IWSOS), May 2013, Palma de Mallorca, Spain. pp.139-144, ⟨10.1007/978-3-642-54140-7_12⟩. ⟨hal-01291509⟩



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