Benchmarks and Hybrid Algorithms in Optimization and Applications - Brossura

 
9789819939725: Benchmarks and Hybrid Algorithms in Optimization and Applications

Sinossi

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 "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

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).

Dalla quarta di copertina

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.

Altre edizioni note dello stesso titolo

9789819939695: Benchmarks and Hybrid Algorithms in Optimization and Applications

Edizione in evidenza

ISBN 10:  9819939690 ISBN 13:  9789819939695
Casa editrice: Springer Nature, 2023
Rilegato