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Értesítés a kedvenc témákról
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Applied Swarm Intelligence

 
Kiadás sorszáma: 1
Kiadó: CRC Press
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GBP 126.00
Becsült forint ár:
60 858 Ft (57 960 Ft + 5% áfa)
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Az Ön ára:
48 686 (46 368 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 12 172 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
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Rövid leírás:

Researchers, engineers and theoreticians, who are interested in swarm intelligence and swarm systems, and the way such approaches can be used for the design and modelling of real-world systems, in a variety of fields.

Hosszú leírás:

This book offers a comprehensive analysis of the variety of tools and techniques used today for the design and modeling of efficient and robust swarm-intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the swarm intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, and military applications. Theoretical and practical limitations of such systems are discussed, as well as trade-offs between the various economic and operational parameters of the systems. The book is intended for researchers and engineers in the fields of swarms systems, economics and operation research.

Key Features ? Explains, in a detailed and clear way, the mathematical principles behind swarm intelligence ? Illustrates how swarm intelligence can be used in real-world systems ? Reviews leading state-of-the-art approaches in the design and modeling of swarm systems today
Tartalomjegyzék:
1. Introduction to applied swarm intelligence. 2. Ride sharing as a swarm ? a dynamic network analysis approach. 3. Optimal coverage infrastructure for large-scale dynamic fleets of reconnaissance drones. 4. A swarm-based approach for modeling reliability and optimizing system maintenance. 5. On mice and financial traders ? swarms as decision optimization mechanisms. 6. Complex crowds: on the interactions of the masses. 7. Predicting income based on twitter activity. 8. Efficient sub-linear algorithms for social networks analysis. 9. The use of swarm signal processing for early detection of emergencies. 10. Swarm based collaborative cyber security infrastructure