Organic Computing and Swarm Intelligence

Daniel Merkle, Martin Middendorf, Alexander Scheidler

Publikation: Kapitel i bog/rapport/konference-proceedingKapitel i bogForskning

Abstrakt

The relations between swarm intelligence and organic computing are discussed in this chapter. The aim of organic computing is to design and study computing systems that consist of many autonomous components and show forms of collective behavior. Such organic computing systems (OC systems) should possess self-x properties (e.g., self-healing, self-managing, self-optimizing), have a decentralized control, and be adaptive to changing requirements of their user. Examples of OC systems are described in this chapter and two case studies are presented that show in detail that OC systems share important properties with social insect colonies and how methods of swarm intelligence can be used to solve problems in organic computing.
OriginalsprogEngelsk
TitelSwarm Intelligence : Introduction and Applications
RedaktørerChristian Blum, Daniel Merkle
ForlagSpringer
Publikationsdato2008
Sider253-281
ISBN (Trykt)978-3-540-74088-9
ISBN (Elektronisk)978-3-540-74089-6
DOI
StatusUdgivet - 2008

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