Integration 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 Schaus.

Format:

Book

Contributor:

Schaus, Pierre, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13292

Language:

English

Subjects (All):

Computer science--Mathematics.

Computer science.

Artificial intelligence.

Computer engineering.

Computer networks.

Mathematics of Computing.

Artificial Intelligence.

Theory of Computation.

Computer Engineering and Networks.

Local Subjects:

Mathematics of Computing.

Artificial Intelligence.

Theory of Computation.

Computer Engineering and Networks.

Physical Description:

1 online resource (459 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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”.

Contents:

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.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Other Format:

Print version: Schaus, Pierre Integration of Constraint Programming, Artificial Intelligence, and Operations Research

ISBN:

9783031080111