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210512 ||| eng |
| 020 |
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|a 9781789845372
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| 020 |
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|a 9781789845365
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| 020 |
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|a intechopen.77539
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| 020 |
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|a 9781839680007
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| 100 |
1 |
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|a Del Ser, Javier
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| 245 |
0 |
0 |
|a Swarm Intelligence
|h Elektronische Ressource
|b Recent Advances, New Perspectives and Applications
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| 260 |
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|b IntechOpen
|c 2019
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| 300 |
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|a 1 electronic resource (128 p.)
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| 653 |
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|a Artificial intelligence / bicssc
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| 653 |
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|a Artificial intelligence
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| 700 |
1 |
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|a Villar, Esther
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| 700 |
1 |
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|a Osaba, Eneko
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| 700 |
1 |
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|a Del Ser, Javier
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
0 |
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|a Artificial Intelligence
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/3.0/
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| 024 |
8 |
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|a 10.5772/intechopen.77539
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/67137
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://mts.intechopen.com/storage/books/7726/authors_book/authors_book.pdf
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 700
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| 520 |
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|a Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.
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