Hidden Bibliographic Details
| Other authors / contributors: | Nedjah, Nadia.
Macedo Mourelle, Luiza de
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| ISBN: | 9783540338697
3540338691
3540338683
9783540338680
1280701854
9781280701856
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| Notes: | Includes bibliographical references and index.
Print version record.
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| Summary: | This volume offers a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems as well as applications and interesting experiences using the particle swarm optimisation. Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
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| Other form: | Print version: Swarm intelligent systems. Berlin : Springer-Verlag, ©2006 3540338683 9783540338680
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| Standard no.: | 9783540338680
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