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Integration of Constraint Programming, Artificial Intelligence, and Operations Research : 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28–31, 2024, Proceedings, Part I / edited by Bistra Dilkina.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Contributor:
Dilkina, Bistra, editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14742
Language:
English
Subjects (All):
Computer science--Mathematics.
Computer science.
Artificial intelligence.
Computer networks.
Mathematics of Computing.
Artificial Intelligence.
Theory of Computation.
Computer Communication Networks.
Local Subjects:
Mathematics of Computing.
Artificial Intelligence.
Theory of Computation.
Computer Communication Networks.
Physical Description:
1 online resource (XIV, 349 p. 79 illus., 68 illus. in color.)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
This book constitutes the proceedings of the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024, held in Uppsala, Sweden, during May 28–31, 2024. The 33 full papers and the 9 short papers presented in the proceedings were carefully reviewed and selected from a total of 104 submissions. The content of the papers focus on new techniques or applications in the area and foster the integration of techniques from different fields dealing with large and complex problems. .
Contents:
Online optimization of a dial-a-ride problem with the integral primal simplex
A Constraint Programming Model for the Electric Bus Assignment Problem with Parking Constraints
Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem
Effciently Mining Closed Interval Patterns with Constraint Programming
Local Alterations of the Lagrange Multipliers for Enhancing the Filtering of the AtMostNValue
Single Constant Multiplication for SAT
Towards a Generic Representation of Combinatorial
Problems for Learning-Based Approaches
Accelerating Continuous Variable Coherent Ising Machines via Momentum
Decision-focused predictions via pessimistic bilevel optimization: a computational study
Bi-Objective Discrete Graphical Model Optimization
An Exploration of Exact Methods for Effective Network Failure Detection and Diagnosis
UNSAT Solver Synthesis via Monte Carlo Forest Search
A hybrid approach integrating Generalized Arc Consistency and Differential Evolution for global optimization
Assessing Group Fairness with Social Welfare Optimization
Modeling and Exploiting Dominance Rules for Discrete Optimization with Decision Diagrams
ViolationLS: Constraint-Based Local Search in CP-SAT
ULD Build-Up Scheduling with Logic-Based Benders Decomposition
A decomposition approach for a capacitated multi-vehicle covering tour problem with intermediate facilities
Don’t Explain Noise: Robust Counterfactuals for Randomized Ensembles
Certifying MIP-based Presolve Reductions for 0-1 Integer Linear Programs
Learning to Solve Job Shop Scheduling under Uncertainty.
Notes:
Includes bibliographical references and index.
ISBN:
9783031605970
3031605977

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