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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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Informazioni sull?autore
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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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer Nature
- Data di pubblicazione2023
- ISBN 10 9819939690
- ISBN 13 9789819939695
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine256
- RedattoreYang Xin-She
- Contatto del produttorenon disponibile
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Benchmarks and Hybrid Algorithms in Optimization and Applications
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ISBN 10: 9819939690
ISBN 13: 9789819939695
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 i. Codice articolo 877457708
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 256 pp. Englisch. Codice articolo 9789819939695
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Buch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch. Codice articolo 9789819939695
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9789819939695
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