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Benchmarks and hybrid algorithms in optimization and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Benchmarks and hybrid algorithms in optimization and applicationsedited by Xin-She Yang.
其他作者:	Yang, Xin-She.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	viii, 246 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-981-99-3970-1
ISBN:	9789819939701$q(electronic bk.)

Benchmarks and hybrid algorithms in optimization and applications
Benchmarks and hybrid algorithms in optimization and applications[electronic resource] /edited by Xin-She Yang. - Singapore :Springer Nature Singapore :2023. - viii, 246 p. :ill. (chiefly color), digital ;24 cm. - Springer tracts in nature-inspired computing,2524-5538. - Springer tracts in nature-inspired computing..

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.

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.

ISBN: 9789819939701$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3970-1doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .B46 2023

Dewey Class. No.: 519.6

Benchmarks and hybrid algorithms in optimization and applications
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520 $a 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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