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024 7 _a10.1007/978-3-031-60597-0
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072 7 _aUYAM
_2bicssc
072 7 _aCOM014000
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072 7 _aUYAM
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082 0 4 _a004.0151
_223
245 1 0 _aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research
_h[electronic resource] :
_b21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part I /
_cedited by Bistra Dilkina.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIV, 349 p. 79 illus., 68 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14742
505 0 _aOnline 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.
520 _aThis 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. .
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aComputer networks .
_931572
650 1 4 _aMathematics of Computing.
_931875
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9102302
650 2 4 _aComputer Communication Networks.
_9102306
700 1 _aDilkina, Bistra.
_eeditor.
_0(orcid)
_10000-0002-6784-473X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9102308
710 2 _aSpringerLink (Online service)
_9102313
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031605963
776 0 8 _iPrinted edition:
_z9783031605987
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v14742
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-60597-0
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