Swarm Intelligence: Introduction and Applications

作者: Daniel Merkle , Christian Blum

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摘要: The laws that govern the collective behavior of social insects, flocks birds, or fish schools continue to mesmerize researchers. While individuals are rather unsophisticated, in cooperation they can solve complex tasks, a prime example being ability ant colonies find shortest paths between their nests and food sources. Task-solving results from self-organization, which often evolves simple means communication, either directly indirectly via changing environment, latter referred as stigmergy. Scientists have applied these principles new approaches, for optimization control robots. Characteristics resulting systems include robustness flexibility. This field research is now swarm intelligence. contributing authors among top researchers domain. book intended provide an overview intelligence novices, offer update on interesting recent developments. Introductory chapters deal with biological foundations, optimization, robotics, applications new-generation telecommunication networks, while second part contains more specific topics such evolution robot behavior, use particle swarms dynamic organic computing.

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