DocumentCode
812903
Title
Swarms and Swarm Intelligence
Author
Hinchey, Michael G. ; Sterritt, Roy ; Rouff, Chris
Author_Institution
Loyola Coll., MD
Volume
40
Issue
4
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
111
Lastpage
113
Abstract
Nature-inspired intelligent swarm technologies deals with complex problems that might be impossible to solve using traditional technologies and approaches. Swarm intelligence techniques (note the difference from intelligent swarms) are population-based stochastic methods used in combinatorial optimization problems in which the collective behavior of relatively simple individuals arises from their local interactions with their environment to produce functional global patterns. Swarm intelligence represents a meta heuristic approach to solving a variety of problems
Keywords
combinatorial mathematics; particle swarm optimisation; stochastic processes; combinatorial optimization problem; meta-heuristic approach; nature-inspired intelligent swarm technology; population-based stochastic method; swarm intelligence techniques; Acceleration; Ant colony optimization; Belts; Birds; Computational modeling; Earth; Educational institutions; Lagrangian functions; Particle swarm optimization; Underwater vehicles; BioTracking; software technologies; swarm technologies;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2007.144
Filename
4160239
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