Applications of X-Heuristics and data science in sustainable transportation and smart cities

Συγγραφείς: Ghorbanioskalaei, Elnaz

Συνεισφορές: University/Department: Universitat Oberta de Catalunya. Escola de Doctorat

Thesis Advisors: Juan, Angel A., Panadero, Javier

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: problemes d’optimització combinatòria, problemas de optimización combinatoria, combinatorial optimization problems, intel∙ligència artificial, inteligencia artificial, artificial intelligence, ciutats intel∙ligents, smart cities, ciudades inteligentes, heurístiques, heurísticas, heuristics, aprenentatge automàtic, aprendizaje automático, machine learning

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10803/695560

Practical applications of Quantum Computing for Optimization Problems

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Principles, Applications, and Challenges of Reconfigurable Intelligent Surface-Enabled Backscatter Communication: A Comprehensive Survey and Outlook

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Trustworthy Natural Language Interfaces for Quantum Optimization: A Secure and Resilient Translation Framework

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Surrogate-assisted Automatic Niching PSO for Expensive Multimodal Optimization Problems

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GGWO: A Golden Grey Wolf Optimizer for Solving Constrained Optimization Problems

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Biobjective Optimization Problems and Stabilization of Switching Power Converters

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Scalarization Machine Learning Module for Counterpoising Interpretability, Deep Learning, and Construct Validity Amidst Uncertainty

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