DocumentCode
592781
Title
Extended formation algorithm for combination of subgroups
Author
Yamauchi, Satoshi ; Kawamura, Hidenori ; Suzuki, Kenji
Author_Institution
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
fYear
2012
fDate
16-18 Dec. 2012
Firstpage
452
Lastpage
457
Abstract
Flocking algorithms for a multi-agent system are distributed algorithms that only have simple rules for each agent but generate complex formational movement. These algorithms are known as swarm intelligence and are robust and disaster tolerant for most cases. On the other hand, most of organizations are constructed from smaller groups, we call it subgroup here. It means activities of organization should be determined by its subgroups but flocking algorithm itself does not have such feature. To express this feature, we extend flocking algorithm to be able to contain subgroups of agents. Also we add flocking algorithm the term that indicates the relationship with other subgroups. By this extension, flocking algorithm is be able to form specific shape more flexibly.
Keywords
multi-agent systems; swarm intelligence; complex formational movement; distributed algorithms; extended formation algorithm; flocking algorithm; multiagent system; subgroups combination; swarm intelligence; Algorithm design and analysis; Educational institutions; Equations; Force; Information science; Lattices; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
System Integration (SII), 2012 IEEE/SICE International Symposium on
Conference_Location
Fukuoka
Print_ISBN
978-1-4673-1496-1
Type
conf
DOI
10.1109/SII.2012.6427334
Filename
6427334
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