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Soft Computing for Problem Solving (eBook)

SocProS 2018, Volume 2
ISBN: 978-981-1501-84-5
GTIN: 9789811501845
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.


This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.


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AutorDas, Kedar Nath (Hrsg.) / Bansal, Jagdish Chand (Hrsg.) / Deep, Kusum (Hrsg.) / Nagar, Atulya K. (Hrsg.) / Pathipooranam, Ponnambalam (Hrsg.) / Naidu, Rani Chinnappa (Hrsg.)
VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2019
Seitenangabe995 S.
AusgabekennzeichenEnglisch
AbbildungenXVIII, 995 p. 529 illus., 296 illus. in color.
Masse35'701 KB
PlattformPDF
ReiheAdvances in Intelligent Systems and Computing
ISBN978-981-1501-84-5

Über den Autor Kedar Nath (Hrsg.) Das

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