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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 II /
  • 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, 317 p. :ill. (some col.), digital ;24 cm.
    內容註: Core Boosting in SAT-Based Multi-Objective Optimization -- Fair Minimum Representation Clustering -- Proof Logging for the Circuit Constraint -- Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model -- Lookahead, Merge and Reduce for Compiling Relaxed Decision Diagrams for Optimization -- LEO: Learning Efficient Orderings for Multiobjective BDDs -- Minimizing the Cost of Leveraging Influencers in Social Networks: IP and CP Approaches -- Learning Deterministic Surrogates for Robust Convex QCQP -- Strategies for Compressing the Pareto Frontier: Application to Strategic Planning of Hydropower in the Amazon Basin -- Improving Metaheuristic Effciency for Stochastic Optimization Problems by Sequential Predictive Sampling -- SMT-based Repair of Disjunctive Temporal Networks with Uncertainty: Strong and Weak Controllability -- CaVE: A Cone-aligned Approach for Fast Predict-then-optimize with Binary Linear Programs -- A Constraint Programming Approach for Aircraft Disassembly Scheduling -- Optimization Over Trained Neural Networks: Taking a Relaxing Walk -- Learning From Scenarios for Repairable Stochastic Scheduling -- Explainable Algorithm Selection for the Capacitated Lot Sizing Problem -- Efficient Structured Perceptron for NP-hard Combinatorial Optimization Problems -- Robustness Verification in Neural Networks -- An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems -- Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification -- Learning Heuristics for Combinatorial Optimization Problems on K-Partite Hypergraphs.
    Contained By: Springer Nature eBook
    標題: Constraint programming (Computer science) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-60599-4
    ISBN: 9783031605994
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