Applied Swarm Intelligence
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65 793 Ft (62 660 Ft + 5% VAT)
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65 793 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 19 December 2024
- ISBN 9780367226879
- Binding Hardback
- No. of pages340 pages
- Size 234x156 mm
- Weight 790 g
- Language English
- Illustrations 126 Illustrations, black & white; 10 Illustrations, color; 42 Halftones, black & white; 7 Halftones, color; 84 Line drawings, black & white; 3 Line drawings, color 672
Categories
Short description:
Provides a comprehensive analysis of the tools and techniques used for the development of efficient and robust decentralized infrastructures for various real-life scenarios, ranging from financial investment through blockchain protocols, shared transportation systems and communication networks, to bioinformatics and military applications.
MoreLong description:
This book provides a comprehensive analysis of the tools and techniques used today for designing 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, bioinformatics, and military applications. Theoretical and practical limitations of such systems, as well as trade-offs between the various economic and operational parameters of the systems, are discussed. The book is intended for researchers and engineers in the fields of swarm systems, economics, agriculture, nutrition, and operation research.
MoreTable of Contents:
Preface. Recent Developments in the Theory and Applicability of Swarm Search. Modeling and Prediction of Ride Sharing Utilization Dynamics. The Dynamics of Autonomous Drone Swarms in Surveillance: Exploring Efficiency, Feasibility, and Complexity. Defending Large-Scale Critical Infrastructures using a Swarm of Drones. Socioeconomic Patterns of Twitter Activity. From Microbes to Methane: AI-Based Predictive Modeling of Feed Additive Efficacy in Dairy Cows.
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