Integration of Constraint Programming, Artificial Intelligence, and Operations Research (eBook, PDF)

22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025, Proceedings, Part II
Redaktion: Tack, Guido

• Format: PDF

Produktbeschreibung

This two-volume set LNCS 15762-15763 constitutes the proceedings of the 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2025, held in Melbourne, VIC, Australia, November 10-13, 2025. The 30 full papers and the 2 short papers presented in the proceedings were carefully reviewed and selected from a total of 68 submissions. The conference featured a masterclass and several joint invited talks that covered topics of interest at the intersection of constraint programming, artificial Intelligence, operations research, planning and scheduling, and knowledge representation.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 272
• Erscheinungstermin: 28. Juni 2025
• Englisch
• ISBN-13: 9783031959769
• Artikelnr.: 74753139

Inhaltsangabe

Combining Constraint Programming and Metaheuristics for Aircraft Maintenance Routing with a Distribution Objective.- Reducing Income Variability in Natural Resource Portfolios via Integer Programming.- Analyzing the numerical correctness of branch-and-bound decisions for mixed-integer programming.- LLMs for Cold-Start Cutting Plane Separator Configuration.- A Dynamic Programming Approach for the Job Sequencing and Tool Switching Problem.- Time-dependent Orienteering for High Altitude UAVs to Monitor Greenhouse Gases.- Multi-depot Electric Bus Scheduling with a Column Generation Heuristic.- On the Effciency of Algebraic Simplex Algorithms for Solving MDPs.- Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic Programming.- Acquiring and Selecting Implied Constraints with an Application to the BinSeq and Partition Global Constraints.- Integer and Constraint Programming for the Offine Nanosatellite Partition Scheduling Problem.- Accelerated Discovery of Set Cover Solutions via Graph Neural Networks.- Constrained Machine Learning Through Hyperspherical Representation.- PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs.- Satellite Communication Resources Management in a Earth Observation Federation of Constellations.- Shaping Reward Signals in Reinforcement Learning Using Constraint Programming.