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Fireworks Algorithm A Novel Swarm Intelligence Optimization Method /
This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modelling and theoretical analy...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
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| Edición: | 1st ed. 2015. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-662-46353-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220112182117.0 | ||
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| 008 | 151011s2015 gw | s |||| 0|eng d | ||
| 020 | |a 9783662463536 |9 978-3-662-46353-6 | ||
| 024 | 7 | |a 10.1007/978-3-662-46353-6 |2 doi | |
| 050 | 4 | |a Q334-342 | |
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| 100 | 1 | |a Tan, Ying. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Fireworks Algorithm |h [electronic resource] : |b A Novel Swarm Intelligence Optimization Method / |c by Ying Tan. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2015. | |
| 300 | |a XXXIX, 323 p. 102 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 520 | |a This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modelling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 0 | |a Numerical analysis. | |
| 650 | 0 | |a Control engineering. | |
| 650 | 0 | |a Robotics. | |
| 650 | 0 | |a Automation. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Numerical Analysis. |
| 650 | 2 | 4 | |a Control, Robotics, Automation. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783662463529 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662463543 |
| 776 | 0 | 8 | |i Printed edition: |z 9783662516188 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-662-46353-6 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||