Häftad, Engelska, 2020
Nature-Inspired Optimization Algorithms
Av Xin-She Yang
1556 kr
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Beskrivning
- Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature
- Provides a theoretical understanding and practical implementation hints
- Presents a step-by-step introduction to each algorithm
- Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications
Produktinformation
- Utgivningsdatum: 2020-09-14
- Mått: 191 x 235 x undefined mm
- Vikt: 570 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 310
- Upplaga: 2
- Förlag: Elsevier Science
- ISBN: 9780128219867
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Mer om författaren
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).
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