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Cover image for Benchmarks and Hybrid Algorithms in Optimization and Applications
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.
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