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E-raamat: Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, Proceedings

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Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 19th International Conference, CPAIOR 2022, Los Angeles, CA, USA, June 20-23, 2022, ProceedingsSuurem pilt
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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”.

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 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.
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