Kaipa, Krishnanand N and Ghose, Debasish (2017) From Natural to Synthetic Swarms. [Book Chapter]
Full text not available from this repository.Abstract
Nature abounds in examples of swarming, a form of collective behavior found in insect and animal societies. Glowworms use simple signaling and attraction mechanisms to congregate into large swarms for the purpose of mass mating. Ants use trail-laying and trail-following behaviors to self-organize into complex foraging patterns; ants gathered in groups can carry prey that are so large that if they were fragmented, the members of the group would be unable to carry all the fragments individually. Honeybee swarms use group decision making to find a future nest: some of the bees, called scout bees, find potential sites in all directions and advertise a dozen or more of them to recruit other bees to visit these sites, but eventually they reach a consensus about a single site.
| Item Type: | Book Chapter |
|---|---|
| Series.: | Studies in Computational Intelligence |
| Publisher: | Springer Verlag |
| Additional Information: | The Copyright of this article belongs to the Springer |
| Keywords: | Particle Swarm Optimization; Travel Salesman Problem; Swarm Intelligence; Multimodal Function; Swarm Intelligence Algorithm |
| Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
| Date Deposited: | 29 May 2022 05:05 |
| Last Modified: | 31 May 2022 04:55 |
| URI: | https://eprints.iisc.ac.in/id/eprint/72582 |
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