Constraint and Integer Programming -- 1 Introduction -- 2 CP(FD) Basic Concepts -- 3 Integer Linear Programming Basic Concepts -- 4 Incomplete search strategies -- 5 Conclusion -- References -- Two Generic Schemes for Efficient and Robust Cooperative Algorithms -- 1 Introduction -- 2 Operations Research Algorithms and Constraint Programming -- 3 Operations Research Algorithms and Mixed Integer Programming -- 4 Constraint Programming and Mixed Integer Programming -- 5 Operations Research Algorithms and Local Search -- 6 Mixed Integer Programming and Local Search -- 7 Constraint Programming and Local Search -- References -- Branch-and-Infer: A Framework for Combining CP and IP -- 1 Introduction -- 2 Modeling in CP and IP -- 3 An illustrating example: discrete tomography -- 4 Branch and Infer -- 5 Symbolic constraints in IP -- 6 Example: Symbolic constraints for supply chain planning -- 7 Summary -- References -- Global Constraints and FiItering Algorithms -- 1 Introduction -- 2 Global Constraints -- 3 Filtering Algorithms -- 4 Two Successful Filtering Algorithms -- 5 Global Constraints and Over-eonstrained Problems -- 6 Quality of Filtering Algorithms -- 7 Discussion -- 8 Conclusion -- References -- Exploiting relaxations in CP -- 1 Introduction and Motivation -- 2 Integer Linear Programming and Relaxations -- 3 Integrating Relaxations in CP -- 4 Relax to propagate -- 5 Relax to guide the search -- 6 A case study: global optimization constraints for a Path constraint -- References -- Hybrid Problem Solving in ECLiPSe -- 1 Introduction -- 2 Integration of Constraints and Operations Research -- 3 Language Ingredients for Hybrid Solvers -- 4 ECLiPSe as a Platform for Building Hybrid Aigorithms -- 5 Programming a Hybrid Search in ECLiPSe -- 6 Conclusion -- References -- CP Based Branch-and-Price -- 1 Introduction -- 2 Three Illustrative Examples -- 3 Implementation Issues -- 4 Future Directions for CP Based Branch-and-Price -- References -- Randomized Backtrack Search -- 1 Introduction -- 2 Randomization of Backtrack Search Methods -- 3 Formal Models of Heavy-Tailed Behavior -- 4 Heavy and Fat-Tailed Distributions -- 5 Heavy and Fat-Tailed Distributions in Backtrack Search -- 6 Restart Strategies -- 7 Portfolio Strategies -- 8 Conclusions -- References -- Local Search and Constraint Programming -- LS and CP ilLustrated on a transportation Problem -- 1 Introduction -- 2 A didactic transportation problem -- 3 A CP approach for dTP -- 4 Constructive Algorithms -- 5 LS as Post-Optimization -- 6 Metaheuristics -- 7 LS during construction -- 8 Conclusions -- References -- Open Perspectives -- 1 Motivations, Challenges and Applications -- 2 Transforming Models to Aigorithms -- 3 New Techniques -- 4 New Application Areas -- References.