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Integration of constraint programming, artificial intelligence, and operations research = 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integration of constraint programming, artificial intelligence, and operations research/ edited by Guido Tack.
Reminder of title:	22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025 : proceedings.
remainder title:	CPAIOR 2025
other author:	Tack, Guido.
corporate name:	CPAIOR (Conference : 2014- )
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiv, 272 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Constraint programming (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-95976-9
ISBN:	9783031959769

Integration of constraint programming, artificial intelligence, and operations research = 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025 : proceedings.. Part II /
Integration of constraint programming, artificial intelligence, and operations research22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025 : proceedings.Part II /[electronic resource] :CPAIOR 2025edited by Guido Tack. - Cham :Springer Nature Switzerland :2025. - xiv, 272 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,157631611-3349 ;. - Lecture notes in computer science ;15763..

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.

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.

ISBN: 9783031959769

Standard No.: 10.1007/978-3-031-95976-9doiSubjects--Topical Terms:

686627
Constraint programming (Computer science)
--Congresses.

LC Class. No.: QA76.612

Dewey Class. No.: 005.116

Integration of constraint programming, artificial intelligence, and operations research = 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10-13, 2025 : proceedings.. Part II /
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