Fr. 206.00

Benchmarks and Hybrid Algorithms in Optimization and Applications

English · Paperback / Softback

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Description

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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.

List of contents

1. Nature-Inspired Algorithms: Overview and Open Problems.- 2. Hybrid algorithms: Components, Hybridization and Examples.- 3. Role of Benchmarks in Optimization.- 4. Travelling Salesman Problems: Symmetric and Asymmetric Cases.- 5. Scheduling Problems: Benchmarks and Implementation.- 6. Active Learning Solution for Semantic Labelling of Earth Observation Satellite Images.- 7. Development of an Ensemble Modelling Framework for Data Analytics in Supply Chain Management.- 8. An Application of Data Mining to Build the OD Matrix in Developing Countries: An Argentinean Case Study.- 9. Deep Learning-based Efficient Customer Segmentation for Online Retail Business.- 10. Application of a Routing Model with a Time Limit for the Collection of RSU in an Argentinian City.- 11. Network Weakness Detection: Case Studies.- 12. Unknown Target Searching by Swarm Robots: A Case Study.

About the 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).


Product details

Assisted by Xin-She Yang (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 04.09.2024
 
EAN 9789819939725
ISBN 978-981-9939-72-5
No. of pages 246
Dimensions 155 mm x 12 mm x 235 mm
Weight 441 g
Illustrations VIII, 246 p. 147 illus., 116 illus. in color.
Series Springer Tracts in Nature-Inspired Computing
Subject Natural sciences, medicine, IT, technology > Technology > General, dictionaries

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