Learning and Intelligent Optimization

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

Yingqian Zhang, Milan Hladik, Hossein Moosaei (Herausgeber)

Buch | Softcover

XII, 302 Seiten

2025
Springer International Publishing (Verlag)
978-3-032-09191-8 (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.

.- Autoregressive RL Approach for Mixed-Integer Linear Programs.

.- Algorithm Configuration in the Unified Planning Framework.

.- Learning to Repair Infeasible$^*$ Problems with Deep Reinforcement Learning on Graphs.

.- Optimal Matched Block Design For Multi-Arm Experiments.

.- CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code.

.- Taxi re-positioning considering driver compliance.

.- A Shared Memory Optimal Parallel Redistribution Algorithm for SMC Samplers with Variable Size Samples.

.- A Hybrid Quantum-Inspired and Deep Learning Approach for the Capacitated Vehicle Routing Problem with Time Windows.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XII, 302 p. 78 illus., 71 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	3-032-09191-8 / 3032091918
ISBN-13	978-3-032-09191-8 / 9783032091918
Zustand	Neuware