Benchmarks and Hybrid Algorithms in Optimization and Applications by Xin-She Yang

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Summary

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.

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Benchmarks and Hybrid Algorithms in Optimization and Applications by Xin-She Yang

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.

The University of Oxford awarded Dr. Xin-She Yang a DPhil in Applied Mathematics. He is an Adjunct Professor at Reykjavik University in Iceland and a Reader at Middlesex University in London. He has written or edited over 25 books. In addition, he is the Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimisation.

SKU Unavailable
ISBN 13 9789819939725
Title Benchmarks and Hybrid Algorithms in Optimization and Applications
Author Xin She Yang
Series Springer Tracts In Nature-Inspired Computing
Condition Unavailable
Binding Type Paperback
Publisher Springer Verlag, Singapore
Year published 2024-08-23
Number of pages 246
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.