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020			_a9783031080111
024	7		_a10.1007/978-3-031-08011-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.612 _b2022 EB
245	0	0	_aIntegration of Constraint Programming, Artificial Intelligence, and Operations Research : _b19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings _cedited by Pierre Schaus
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XIX, 442 páginas) _b101 ilustraciones, 64 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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 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.
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".
988			_aSpringer_Computer_2022
650		7	_2embne _9160750 _aProgramación lógica _vCongresos y asambleas
650		7	_2embne _aInteligencia artificial _vCongresos y asambleas _9413115
700	1		_aSchaus, Pierre _eeditor literario _0(orcid)0000-0002-3153-8941 _1https://orcid.org/0000-0002-3153-8941 _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783031080104
776	0	8	_iPrinted edition: _z9783031080128
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-08011-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eIG _zSI