東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Benchmarks and hybrid algorithms in ...

Yang, Xin-She.

Linked to FindBook

Google Book

Amazon

博客來

Benchmarks and hybrid algorithms in optimization and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Benchmarks and hybrid algorithms in optimization and applications/ edited 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization. -
Online resource:	https://doi.org/10.1007/978-981-99-3970-1
ISBN:	9789819939701

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

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

517763
Mathematical optimization.

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

Dewey Class. No.: 519.6

Benchmarks and hybrid algorithms in optimization and applications
LDR:02477nmm a2200337 a 4500 001 2333974
003 DE-He213
005 20230821165152.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819939701 $q (electronic bk.)
020 $a 9789819939695 $q (paper)
024 7 $a 10.1007/978-981-99-3970-1 $2 doi
035 $a 978-981-99-3970-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .B46 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .B457 2023
245 0 0 $a Benchmarks and hybrid algorithms in optimization and applications $h [electronic resource] / $c edited by Xin-She Yang.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a viii, 246 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Springer tracts in nature-inspired computing, $x 2524-5538
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 517763
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Optimization. $3 891104
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Yang, Xin-She. $3 906652
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer tracts in nature-inspired computing. $3 3443947
856 4 0 $u https://doi.org/10.1007/978-981-99-3970-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)