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
https://doi.org/10.1007/978-981-99-3970-1


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book528160-1001ONLINEElektronik Kütüphane