001447514 000__ 04564cam\a2200565Ii\4500
001447514 001__ 1447514
001447514 003__ OCoLC
001447514 005__ 20230310004121.0
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001447514 019__ $$a1328221905
001447514 020__ $$a9783031080111$$q(electronic bk.)
001447514 020__ $$a3031080114$$q(electronic bk.)
001447514 020__ $$z9783031080104
001447514 020__ $$z3031080106
001447514 0247_ $$a10.1007/978-3-031-08011-1$$2doi
001447514 035__ $$aSP(OCoLC)1330429609
001447514 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dEMU$$dOCLCQ
001447514 049__ $$aISEA
001447514 050_4 $$aQA76.612
001447514 08204 $$a005.1/16$$223/eng/20220616
001447514 1112_ $$aCPAIOR (Conference : 2014- )$$n(19th :$$d2022 :$$cLos Angeles, Calif ; Online)
001447514 24510 $$aIntegration of constraint programming, artificial intelligence, and operations research :$$b19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings /$$cPierre Schaus (eds.).
001447514 2463_ $$aCPAIOR 2022
001447514 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001447514 300__ $$a1 online resource (xix, 442 pages) :$$billustrations (some color).
001447514 336__ $$atext$$btxt$$2rdacontent
001447514 337__ $$acomputer$$bc$$2rdamedia
001447514 338__ $$aonline resource$$bcr$$2rdacarrier
001447514 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13292
001447514 500__ $$aIncludes author index.
001447514 5050_ $$aA Two-Phase Hybrid Approach for the Hybrid Flexible Flowshop with Transportation Times -- A SAT Encoding to compute Aperiodic Tiling Rhythmic Canons -- Transferring Information across Restarts in MIP -- Towards Copeland Optimization in Combinatorial Problems -- Coupling Different Integer Encodings for SAT -- Model-Based Algorithm Configuration with Adaptive Capping and Prior Distributions -- Shattering Inequalities for Learning Optimal Decision Trees -- Learning Pseudo-Backdoors for Mixed Integer Programs -- Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists -- Solving the Job Shop Scheduling Problem extended with AGVs ⁰́₃ Classical and Quantum Approaches -- Stochastic Decision Diagrams -- Improving the robustness of EPS to solve the TSP -- Efficient operations between MDDs and constraints -- Deep Policy Dynamic Programming for Vehicle Routing Problems -- Learning a Propagation Complete Formula -- A FastMap-Based Algorithm for Block Modeling -- Packing by Scheduling: Using Constraint Programming to Solve a Complex 2D Cutting Stock Problem -- Dealing with the product constraint -- Multiple-choice knapsack constraint in graphical models -- A Learning Large Neighborhood Search for the Staff Rerostering Problem -- Practically Uniform Solution Sampling in Constraint Programming -- Training Thinner and Deeper Neural Networks: Jumpstart Regularization -- Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning -- Enumerated Types and Type Extensions for MiniZinc -- A parallel algorithm for generalized arc-consistent filtering for the Alldifferent constraint -- Analyzing the Reachability Problem in Choice Networks -- Model-based Approaches to Multi-Attribute Diverse Matching.
001447514 506__ $$aAccess limited to authorized users.
001447514 520__ $$aThis book constitutes the proceedings of the 19th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, which was held in Los Angeles, CA, USA, in June 2022.The 28 regular papers presented were carefully reviewed and selected from a total of 60 submissions. The conference program included a Master Class on the topic "Bridging the Gap between Machine Learning and Optimization".
001447514 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 16, 2022).
001447514 650_0 $$aConstraint programming (Computer science)$$vCongresses.
001447514 650_0 $$aCombinatorial optimization$$xData processing$$vCongresses.
001447514 650_0 $$aArtificial intelligence$$vCongresses.
001447514 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001447514 655_0 $$aElectronic books.
001447514 7001_ $$aSchaus, Pierre,$$eeditor.$$0(orcid)0000-0002-3153-8941$$1https://orcid.org/0000-0002-3153-8941
001447514 77608 $$iPrint version: $$z3031080106$$z9783031080104$$w(OCoLC)1317839044
001447514 830_0 $$aLecture notes in computer science ;$$v13292.$$x1611-3349
001447514 852__ $$bebk
001447514 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-08011-1$$zOnline Access$$91397441.1
001447514 909CO $$ooai:library.usi.edu:1447514$$pGLOBAL_SET
001447514 980__ $$aBIB
001447514 980__ $$aEBOOK
001447514 982__ $$aEbook
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