Evolution as a tool to design self-organizing systems

1Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This artice is free to access.

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. © IFIP International Federation for Information Processing 2014.

Cite

CITATION STYLE

APA

Fehérvári, I., & Elmenreich, W. (2014). Evolution as a tool to design self-organizing systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8221 LNCS, pp. 139–144). Springer Verlag. https://doi.org/10.1007/978-3-642-54140-7_12

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free