Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems - Info and Reading Options

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Intro -- Title -- Preface -- Organization -- Table of Contents -- Preference Elicitation and Preference Learning in Social Choice -- Propagation in Constraints: How One Thing Leads to Another -- On Bilevel Programming and Its Impact in Branching, Cutting and Complexity -- Optimization Methods for the Partner Units Problem -- Introduction -- The Partner Units Problem -- Formal Definition -- The Partner Units Problem Is Intractable -- Forbidden Subgraphs of the Pup -- K-Regular Graphs -- Bounds on the Number of Units Required -- Symmetry Breaking -- Encodings for the General Case -- Answer Set Programming -- Propositional Satisfiability Testing -- Integer Programming -- Constraint Satisfaction Problem -- A Special Case: InterUnitCap = 2 -- A Specialized Algorithm for InterUnitCap = 2 -- Adapting the Encodings to InterUnitCap = 2 -- Evaluation -- Experimental Results -- Analysis -- Future Work -- References -- Manipulating MDD Relaxations for Combinatorial Optimization -- Introduction -- Preliminaries -- Top-Down MDD Compilation -- Exact Top-Down Compilation -- Approximate Top-Down Compilation -- Value Enumeration -- Application to Set Covering -- Equivalence Test -- Relaxation Operation -- Filtering -- Experimental Results -- Bandwidth and the Minimum Bandwidth Problem -- Problem Generation -- Evaluating the MDD Parameters -- Evaluating the Impact of the Bandwidth -- Scaling Up -- Conclusion -- References -- The AllDifferent Constraint with Precedences -- Introduction -- Formal Background -- Some Examples -- Exam Time-Tabling -- Scheduling -- Breaking Value Symmetry -- AllDiffPrec -- Bounds Consistency -- Faster Bounds Consistency Algorithm -- Bounds Consistency Decomposition -- Domain Consistency -- Other Related Work -- Conclusions -- References -- Retail Store Workforce Scheduling by Expected Operating Income Maximization -- Introduction

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