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(Ebook) Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1 (Advances in Intelligent Systems and Computing, 1392) by Aruna Tiwari (editor), Kapil Ahuja (editor), Anupam Yadav (editor), Jagdish Chand Bansal (editor), Kusum Deep (editor), Atulya K. Nagar (editor) ISBN 9789811627088, 9811627088

  • SKU: EBN-36263128
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Instant download (eBook) Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1 (Advances in Intelligent Systems and Computing, 1392) after payment.
Authors:Aruna Tiwari (editor), Kapil Ahuja (editor), Anupam Yadav (editor), Jagdish Chand Bansal (editor), Kusum Deep (editor), Atulya K. Nagar (editor)
Pages:810 pages.
Year:2020
Editon:1st ed. 2021
Publisher:Springer
Language:english
File Size:19.38 MB
Format:pdf
ISBNS:9789811627088, 9811627088
Categories: Ebooks

Product desciption

(Ebook) Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 1 (Advances in Intelligent Systems and Computing, 1392) by Aruna Tiwari (editor), Kapil Ahuja (editor), Anupam Yadav (editor), Jagdish Chand Bansal (editor), Kusum Deep (editor), Atulya K. Nagar (editor) ISBN 9789811627088, 9811627088

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
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