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Swarm Intelligence Introduction and Applications
Publisher: Springer

Sep 19, 2013 - In the classical swarm model as introduced by Reynolds, the swarm consists of “boids” [6], which are agents that follow simple rules and are not aware of the product of swarm intelligence. (ed), Springer Publishing Company, Incorporated, 2008. The concept is employed in work on artificial intelligence. Berni, Review of "Swarm intelligence: introduction and applications", Blum C., Merkle D. Feb 3, 2012 - The editors have introduced the term "physicomimetics" to refer to physics-based swarm approaches, which offer two advantages. Aug 23, 2012 - Autonomic Clouds have emerged as a result of the application of autonomic techniques to cloud computing, resulting in robust, fault tolerant and easy to manage and operate cloud architectures. Oct 2, 2008 - This field of research is now referred to as swarm intelligence. 'Swarm prediction' has been used in the context of forecasting Artificial cooperative search algorithm (ACS) is a bi-population based swarm intelligence algorithm introduced by Civicioglu in 2013, which analogically simulates the predator-prey interaction. Such autonomic techniques cover evolutionary and genetic algorithms, multi-objective and combinational optimization heuristics, artificial neural networks, swarm intelligence, and multi-agents systems. Feb 13, 2014 - Short papers and demo papers are new categories that are being introduced for the first time at an SMC annual conference. Mar 13, 2013 - The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. The contributing authors are among the top researchers in their domain. Apr 22, 2011 - Swarm intelligence (SI) is the collective behaviour of decentralized, self-organized systems, natural or artificial. Sep 7, 2011 - It will give you an overall view of what Swarm Intelligence is while entailing the Ant Colony Optimization and Particle Swarm Optimization algorithms. They are intended to promote applied research and Intelligent Internet Systems Knowledge Acquisition in Intelligent Machine Learning Machine Vision Media Computing Medical Informatics Neural Networks and their Applications Optimization Self-Organization Swarm Intelligence.