Swarm Intelligence Introduction and Applications.

Swarm Intelligence Introduction and Applications


Swarm.Intelligence.Introduction.and.Applications.pdf
ISBN: ,9783540759720 | 283 pages | 8 Mb


Download Swarm Intelligence Introduction and Applications



Swarm Intelligence Introduction and Applications
Publisher: Springer




When swarms solve problems in nature, their abilities are usually attributed to swarm intelligence; perhaps the best-known examples are colonies of social insects such as termites, bees, and ants. 2 Crisp K-Means Cluster Analysis 15. Swarm robotics is currently one of the most important application areas for swarm intelligence. SI systems are typically made up of a population The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems. Apr 8, 2013 - In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle PART I CLASS DISCOVERY 13. 2.6 V-Fold Cross-Validation 35. Jan 14, 2014 - 1 Origins; 2 Characteristics of swarm robotics; 3 Desirable properties of swarm robotics systems; 4 Potential applications of swarm robotics; 5 Scientific implications of swarm robotics; 6 Current research. Jan 17, 2009 - The concept is employed in work on artificial intelligence. Such autonomic techniques cover evolutionary and genetic algorithms, multi-objective and combinational optimization heuristics, artificial neural networks, swarm intelligence, and multi-agents systems. This paper presents an introduction to the world of swarm robots and adumbrates its applications. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. The class of complex systems sometimes referred to as swarm systems is a rich source of novel computational methods that can solve difficult problems efficiently and reliably. 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. 6.1 Design; 6.2 Swarm robotics also enables the development of systems that are able to cope well with changes in their group size: ideally, the introduction or removal of individuals does not cause a drastic change in the performance of the swarm.

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