The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Swarm Intelligence Applications for the Internet
|
|
Author(s): Sergio Gutiérrez (University Carlos III of Madrid, Spain), Abelardo Pardo (University Carlos III of Madrid, Spain)and Carlos Delgado Kloos (University Carlos III of Madrid, Spain)
Copyright: 2008
Pages: 6
Source title:
Encyclopedia of Internet Technologies and Applications
Source Author(s)/Editor(s): Mario Freire (University of Beira Interior, Portugal)and Manuela Pereira (University of Beira Interior, Portugal)
DOI: 10.4018/978-1-59140-993-9.ch084
Purchase
|
Abstract
A swarm may be defined as a population of interacting elements that is able to optimize some global objective through collaborative search of a space (Kennedy, 2001). The elements may be very simple machines or very complex living beings, but there are two restrictions to be observed: They are limited to local interactions; usually the interaction is not performed directly but indirectly through the environment. The property that makes swarms interesting is their self-organizing behaviour; in other words, it is the fact that a lot of simple processes can lead to complex results.
Related Content
|
Nalini M..
© 2023.
22 pages.
|
|
Balachandar S., Chinnaiyan R..
© 2023.
19 pages.
|
|
V. A. Velvizhi, G. Senbagavalli, S. Malini.
© 2023.
29 pages.
|
|
Amuthan Nallathambi, Kannan Nova.
© 2023.
25 pages.
|
|
Amuthan Nallathambi, Sivakumar N., Velrajkumar P..
© 2023.
17 pages.
|
|
Nayana Hegde, Sunilkumar S. Manvi.
© 2023.
18 pages.
|
|
Udayakumar K., Ramamoorthy S., Poorvadevi R..
© 2023.
26 pages.
|
|
|