Benchmarks and Hybrid Algorithms in Optimization and Applications
by
Yang, Xin-She. editor.
Title
:
Benchmarks and Hybrid Algorithms in Optimization and Applications
Author
:
Yang, Xin-She. editor.
ISBN
:
9789819939701
Edition
:
1st ed. 2023.
Physical Description
:
VIII, 246 p. 147 illus., 116 illus. in color. online resource.
Series
:
Springer Tracts in Nature-Inspired Computing,
Contents
:
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.
Subject Term
:
Computational intelligence.
Mathematical optimization.
Artificial intelligence.
Optimization.
Added Author
:
Yang, Xin-She.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
| Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
|---|
| Online Library | E-Book | 528160-1001 | ONLINE | | Elektronik Kütüphane |