LEADER 04367nam 22006495 450 001 9910864197503321 005 20240909114206.0 010 $a9783031605994 010 $a3031605993 024 7 $a10.1007/978-3-031-60599-4 035 $a(CKB)32200492300041 035 $a(MiAaPQ)EBC31355638 035 $a(Au-PeEL)EBL31355638 035 $a(DE-He213)978-3-031-60599-4 035 $a(OCoLC)1438672638 035 $a(EXLCZ)9932200492300041 100 $a20240527d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research $e21st International Conference, CPAIOR 2024, Uppsala, Sweden, May 28?31, 2024, Proceedings, Part II /$fedited by Bistra Dilkina 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (332 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14743 311 08$a9783031606014 311 08$a3031606019 327 $aCore 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. 330 $aThis book constitutes the proceedings of the 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2024, held in Uppsala, Sweden, during May 28?31, 2024.The 33 full papers and the 9 short papers presented in the proceedings were carefully reviewed and selected from a total of 104 submissions. The content of the papers focus on new techniques or applications in the area and foster the integration of techniques from different fields dealing with large and complex problems. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14743 606 $aComputer science$xMathematics 606 $aArtificial intelligence 606 $aComputer science 606 $aComputer networks 606 $aMathematics of Computing 606 $aArtificial Intelligence 606 $aTheory of Computation 606 $aComputer Communication Networks 615 0$aComputer science$xMathematics. 615 0$aArtificial intelligence. 615 0$aComputer science. 615 0$aComputer networks. 615 14$aMathematics of Computing. 615 24$aArtificial Intelligence. 615 24$aTheory of Computation. 615 24$aComputer Communication Networks. 676 $a40,151 700 $aDilkina$b Bistra$01740227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910864197503321 996 $aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research$94165662 997 $aUNINA