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020 _a9783031080111
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024 7 _a10.1007/978-3-031-08011-1
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_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] :
_b19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings /
_cedited by Pierre Schaus.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXIX, 442 p. 101 illus., 64 illus. in color.
_bonline resource.
336 _atext
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_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 ;
_v13292
505 0 _aA 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 ConstraintProgramming 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.
520 _aThis 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".
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aMathematics of Computing.
_931875
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9111936
650 2 4 _aComputer Engineering and Networks.
_9111937
700 1 _aSchaus, Pierre.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9111938
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031080104
776 0 8 _iPrinted edition:
_z9783031080128
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13292
_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-08011-1
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