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Benchmarks and Hybrid Algorithms in Optimization and Applications

BookHardcover
Ranking27201inTechnik
CHF209.00

Description

This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
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Details

ISBN/GTIN978-981-99-3969-5
Product TypeBook
BindingHardcover
Publishing date22/08/2023
Edition2023
SeriesSpringer Tracts in Nature-Inspired Computing
Pages256 pages
LanguageEnglish
SizeWidth 160 mm, Height 241 mm, Thickness 19 mm
Weight599 g
Article no.22067000
CatalogsBuchzentrum
Data source no.44627980
Product groupTechnik
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Author

Xin-she Yang obtained his D.Phil. in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as Senior Research Scientist. Now he is Reader at Middlesex University London and Elected Fellow of Institute of Mathematics and its Applications (FIMA). He was IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management (2015-2020). He is also Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO). With more than 20 years of teaching and research experience, he has authored more than 10 books and edited more than 15 books. He has published more than 250 peer-reviewed research papers with nearly 75,000 citations. According to Clarivate Analytics/Web of Sciences, he has been on the prestigious list of highly cited researchers for seven consecutive years (2016-2022).

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