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Benchmarks and hybrid algorithms in optimization and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Benchmarks and hybrid algorithms in optimization and applicationsedited by Xin-She Yang.
other author:	Yang, Xin-She.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	viii, 246 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization.
Online resource:	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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505 0 $a 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.
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.
650 0 $a Mathematical optimization. $3 183292
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Optimization. $3 274084
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Yang, Xin-She. $3 522569
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830 0 $a Springer tracts in nature-inspired computing. $3 859875
856 4 0 $u https://doi.org/10.1007/978-981-99-3970-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)