Title :
Swarms and Swarm Intelligence
Author :
Hinchey, Michael G. ; Sterritt, Roy ; Rouff, Chris
Author_Institution :
Loyola Coll., MD
fDate :
4/1/2007 12:00:00 AM
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;
DOI :
10.1109/MC.2007.144
