Benchmarks and hybrid algorithms in optimization and applications

Benchmarks and hybrid algorithms in optimization and applications / Xin-She Yang, editor.

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 benchmark...

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Bibliographic Details
Other Authors: Yang, Xin-She
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Series:Springer Tracts in Nature-Inspired Computing
Subjects:
Mathematical optimization.
Mathematical optimization
Online Access:Click for online access
Description
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. 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.
Physical Description:1 online resource (viii, 246 pages) : illustrations (chiefly color).
ISBN:9789819939701
9819939704
Source of Description, Etc. Note:Description based upon print version of record.

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