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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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Integration of constraint programming, artificial intelligence, and operations research/ edited by Bistra Dilkina.
    其他題名: 21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28-31, 2024 : proceedings.
    其他題名: CPAIOR 2024
    其他作者: Dilkina, Bistra.
    團體作者: CPAIOR (Conference : 2014- )
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xiv, 349 p. :ill. (some col.), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Constraint programming (Computer science) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-60597-0
    ISBN: 9783031605970
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