Applied swarm intelligence:
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...
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| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton
CRC Press
2025
|
| Edition: | First edition |
| Subjects: | |
| Online Access: | DE-824 Volltext |
| Summary: | 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 |
| Item Description: | OCLC-licensed vendor bibliographic record |
| Physical Description: | 1 Online-Ressource (viii, 332 Seiten) |
| ISBN: | 9780429276378 0429276370 9781000734461 1000734463 9781000734263 1000734269 9781000734669 1000734668 |
| DOI: | 10.1201/9780429276378 |
Staff View
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| id | DE-604.BV050218169 |
| illustrated | Not Illustrated |
| indexdate | 2025-04-03T08:01:04Z |
| institution | BVB |
| isbn | 9780429276378 0429276370 9781000734461 1000734463 9781000734263 1000734269 9781000734669 1000734668 |
| language | English |
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| owner | DE-824 |
| owner_facet | DE-824 |
| physical | 1 Online-Ressource (viii, 332 Seiten) |
| psigel | ZDB-7-TFC ZDB-7-TFC UEI_PDA_TFC2_Kauf |
| publishDate | 2025 |
| publishDateSearch | 2025 |
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| publisher | CRC Press |
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| spelling | Applied swarm intelligence editor, Yaniv Altshuler First edition Boca Raton CRC Press 2025 1 Online-Ressource (viii, 332 Seiten) txt rdacontent c rdamedia cr rdacarrier OCLC-licensed vendor bibliographic record 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 COMPUTERS / Artificial Intelligence bisacsh Swarm intelligence Artificial intelligence Altshuler, Yaniv edt Erscheint auch als Druck-Ausgabe 9780367226879 Erscheint auch als Druck-Ausgabe 9781032932248 https://doi.org/10.1201/9780429276378 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Applied swarm intelligence COMPUTERS / Artificial Intelligence bisacsh Swarm intelligence Artificial intelligence |
| title | Applied swarm intelligence |
| title_auth | Applied swarm intelligence |
| title_exact_search | Applied swarm intelligence |
| title_full | Applied swarm intelligence editor, Yaniv Altshuler |
| title_fullStr | Applied swarm intelligence editor, Yaniv Altshuler |
| title_full_unstemmed | Applied swarm intelligence editor, Yaniv Altshuler |
| title_short | Applied swarm intelligence |
| title_sort | applied swarm intelligence |
| topic | COMPUTERS / Artificial Intelligence bisacsh Swarm intelligence Artificial intelligence |
| topic_facet | COMPUTERS / Artificial Intelligence Swarm intelligence Artificial intelligence |
| url | https://doi.org/10.1201/9780429276378 |
| work_keys_str_mv | AT altshuleryaniv appliedswarmintelligence |