Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [recurso electrónico] : 7th International Conference, CPAIOR 2010, Bologna, Italy, June 14-18, 2010. Proceedings / edited by Andrea Lodi, Michela Milano, Paolo Toth.

Towards a MIP-Cut Metascheme -- Challenges for CPAIOR in Computational Sustainability -- Lazy Clause Generation: Combining the Power of SAT and CP (and MIP?) Solving -- On Matrices, Automata, and Double Counting -- The Increasing Nvalue Constraint -- Improving the Held and Karp Approach with Constraint Programming -- Characterization and Automation of Matching-Based Neighborhoods -- Rapid Learning for Binary Programs -- Hybrid Methods for the Multileaf Collimator Sequencing Problem -- Automatically Exploiting Subproblem Equivalence in Constraint Programming -- Single-Facility Scheduling over Long Time Horizons by Logic-Based Benders Decomposition -- Integrated Maintenance Scheduling for Semiconductor Manufacturing -- A Constraint Programming Approach for the Service Consolidation Problem -- Solving Connected Subgraph Problems in Wildlife Conservation -- Consistency Check for the Bin Packing Constraint Revisited -- A Relax-and-Cut Framework for Gomory’s Mixed-Integer Cuts -- An In-Out Approach to Disjunctive Optimization -- A SAT Encoding for Multi-dimensional Packing Problems -- Job Shop Scheduling with Setup Times and Maximal Time-Lags: A Simple Constraint Programming Approach -- On the Design of the Next Generation Access Networks -- Vehicle Routing for Food Rescue Programs: A Comparison of Different Approaches -- Constraint Programming and Combinatorial Optimisation in Numberjack -- Automated Configuration of Mixed Integer Programming Solvers -- Upper Bounds on the Number of Solutions of Binary Integer Programs -- Matrix Interdiction Problem -- Strong Combination of Ant Colony Optimization with Constraint Programming Optimization -- Service-Oriented Volunteer Computing for Massively Parallel Constraint Solving Using Portfolios -- Constraint Programming with Arbitrarily Large Integer Variables -- Constraint-Based Local Search for Constrained Optimum Paths Problems -- Stochastic Constraint Programming by Neuroevolution with Filtering -- The Weighted Spanning Tree Constraint Revisited -- Constraint Reasoning with Uncertain Data Using CDF-Intervals -- Revisiting the Soft Global Cardinality Constraint -- A Constraint Integer Programming Approach for Resource-Constrained Project Scheduling -- Strategic Planning for Disaster Recovery with Stochastic Last Mile Distribution -- Massively Parallel Constraint Programming for Supercomputers: Challenges and Initial Results -- Boosting Set Constraint Propagation for Network Design -- More Robust Counting-Based Search Heuristics with Alldifferent Constraints.

The 7th International Conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems (CPAIOR 2010) was held in Bologna, Italy, June 16-18, 2010. The conference is intended primarily as a forum to focus on the integration and hybridization of the approaches of constraint programming (CP), arti?cial intelligence (AI), and operations research (OR) technologies for solving lar- scale and complex real-life combinatorial optimization problems. CPAIOR is focused on both theoretical and practical, application-oriented contributions. The interest of the researchcommunity in this conference is witnessed by the highnumber ofhigh-qualitysubmissions receivedthis year,reaching39 long and 33 short papers. From these submissions, we chose 18 long and 17 short papers to be published in full in the proceedings. ThisvolumeincludesextendedabstractsoftheinvitedtalksgivenatCPAIOR. Namely, one by Matteo Fischetti (University of Padova) on cutting planes and their use within search methods; another by Carla Gomes (Cornell University) on the recently funded NSF “Expedition in Computing” grant on the topic of computationalsustainabilityandonthepotentialapplicationofhybridoptimi- tion approachesto this area;a third by Peter Stuckey (University of Melbourne) on the integration of SATis?ability solvers within constraint programming and integer programming solvers.

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