Learning and Intelligent Optimization

19th International Conference, LION 19, Prague, Czech Republic, June 15–19, 2025, Proceedings, Part I

Yingqian Zhang, Milan Hladik, Hossein Moosaei (Herausgeber)

Buch | Softcover

XII, 322 Seiten

2026
Springer International Publishing (Verlag)
978-3-032-09155-0 (ISBN)

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The two-volume set LNCS 15744 + 15745 constitutes the proceedings of the 19th International Conference on Learning and Intelligent Optimization, LION 2025, which was held in Prague, Czech Republic, during June 15 19, 2025.

The 40 full papers included in the proceedings were carefully reviewed and selected from 70 submissions. They focus on exploring the intersections of Artificial Intelligence, Machine Learning, and Operations Research.

.- Multi-Agent Soft Actor-Critic with Coordinated Loss for Autonomous Mobility-on-Demand Fleet Control.

.- Do LLMs Understand Constraint Programming? Zero-Shot Constraint Programming Model Generation Using LLMs.

.- Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding.

.- Automated Refutation with Monte Carlo Search of Graph Theory Conjectures on the Maximum Laplacian Eigenvalue.

.- Demand Selection for VRP with Emission Quota.

.- Multi-target tree regression approach for surrogate-based optimisation.

.- Information Preserving Line Search via Bayesian Optimization.

.- Bayesian Optimisation Against Climate Change: Applications and Benchmarks.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XII, 322 p. 80 illus., 67 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	algorithms • Artificial Intelligence • Deep learning • Intelligent Systems • machine learning • Mathematical Programming • Metaheuristics • Operations Research • Optimization • Reinforcement Learning • Search Methodologies
ISBN-10	3-032-09155-1 / 3032091551
ISBN-13	978-3-032-09155-0 / 9783032091550
Zustand	Neuware