Benchmarks and Hybrid Algorithms in Optimization and Applications

Benchmarks and Hybrid Algorithms in Optimization and Applications

Yang, Xin-She

Springer Verlag, Singapore

09/2024

246

Mole

9789819939725

15 a 20 dias

Descrição não disponível.
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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Hybrid Algorithms;Benchmarks;Nature-inspired Algorithms;Artificial Intelligence;Optimization;Real-World Optimization Problems