05168nam 22008055 450 991057485690332120241120131631.09783031080111(electronic bk.)978303108010410.1007/978-3-031-08011-1(MiAaPQ)EBC7014678(Au-PeEL)EBL7014678(CKB)23525478500041EBL7014678(AU-PeEL)EBL7014678(DE-He213)978-3-031-08011-1(PPN)268794472(EXLCZ)992352547850004120220609d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntegration of Constraint Programming, Artificial Intelligence, and Operations Research 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings /edited by Pierre Schaus1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (459 pages)Lecture Notes in Computer Science,1611-3349 ;13292Description based upon print version of record.Print version: Schaus, Pierre Integration of Constraint Programming, Artificial Intelligence, and Operations Research Cham : Springer International Publishing AG,c2022 9783031080104 Includes bibliographical references and index.A Two-Phase Hybrid Approach for the Hybrid Flexible Flowshop with Transportation Times -- A SAT Encoding to compute Aperiodic Tiling Rhythmic Canons -- Transferring Information across Restarts in MIP -- Towards Copeland Optimization in Combinatorial Problems -- Coupling Different Integer Encodings for SAT -- Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions -- Shattering Inequalities for Learning Optimal Decision Trees -- Learning Pseudo-Backdoors for Mixed Integer Programs -- Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists -- Solving the Job Shop Scheduling Problem extended with AGVs – Classical and Quantum Approaches -- Stochastic Decision Diagrams -- Improving the robustness of EPS to solve the TSP -- Efficient operations between MDDs and constraints -- Deep Policy Dynamic Programming for Vehicle Routing Problems -- Learning a Propagation Complete Formula -- A FastMap-Based Algorithm for Block Modeling -- Packing by Scheduling: Using Constraint Programming to Solve a Complex 2D Cutting Stock Problem -- Dealing with the product constraint -- Multiple-choice knapsack constraint in graphical models -- A Learning Large Neighborhood Search for the Staff Rerostering Problem -- Practically Uniform Solution Sampling in Constraint Programming -- Training Thinner and Deeper Neural Networks: Jumpstart Regularization -- Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning -- Enumerated Types and Type Extensions for MiniZinc -- A parallel algorithm for generalized arc-consistent filtering for the Alldifferent constraint -- Analyzing the Reachability Problem in Choice Networks -- Model-based Approaches to Multi-Attribute Diverse Matching.This book constitutes the proceedings of the 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, which was held in Los Angeles, CA, USA, in June 2022.The 28 regular papers presented were carefully reviewed and selected from a total of 60 submissions. The conference program included a Master Class on the topic "Bridging the Gap between Machine Learning and Optimization”.Lecture Notes in Computer Science,1611-3349 ;13292Computer scienceMathematicsArtificial intelligenceComputer scienceComputer engineeringComputer networksMathematics of ComputingArtificial IntelligenceTheory of ComputationComputer Engineering and NetworksProgramació per restriccionsthubOptimització combinatòriathubProcessament de dadesthubCongressosthubLlibres electrònicsthubComputer scienceMathematics.Artificial intelligence.Computer science.Computer engineering.Computer networks.Mathematics of Computing.Artificial Intelligence.Theory of Computation.Computer Engineering and Networks.Programació per restriccionsOptimització combinatòriaProcessament de dades006.3005.116Schaus PierreMiAaPQMiAaPQMiAaPQ9910574856903321Integration of Constraint Programming, Artificial Intelligence, and Operations Research2880461UNINA