Titlebook: Constraint and Integer Programming; Toward a Unified Met Michela Milano Book 2004 Springer Science+Business Media New York 2004 C programmi

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Branch-and-Infer: A Framework for Combining CP and IP, in a uniform framework, branch-and-infer. The goal of this framework is to clarify the relationship between the two techniques, and to indicate possible ways towards their integration. We illustrate the different concepts by examples from discrete tomography and supply chain optimization.

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1387-666X aches to integration, brings us up to date on heuristic methods, and attempts to discern future directions in this fast-moving field. .978-1-4613-4719-4978-1-4419-8917-8Series ISSN 1387-666X Series E-ISSN 2698-5489

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Constraint and Integer Programming978-1-4419-8917-8Series ISSN 1387-666X Series E-ISSN 2698-5489

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Gayane T. Piliposian,Peter G. Appleby in a uniform framework, branch-and-infer. The goal of this framework is to clarify the relationship between the two techniques, and to indicate possible ways towards their integration. We illustrate the different concepts by examples from discrete tomography and supply chain optimization.

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Rational Assessment of Fluid Impact LoadsIn this chapter, we present an overview of constraint programming based branch-and-price, a combined integer programming-constraint programming algorithm used to solve combinatorial problems formulated with a huge number of variables. We discuss a number of applications and implementation issues.

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CP Based Branch-and-Price,In this chapter, we present an overview of constraint programming based branch-and-price, a combined integer programming-constraint programming algorithm used to solve combinatorial problems formulated with a huge number of variables. We discuss a number of applications and implementation issues.

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Two Generic Schemes for Efficient and Robust Cooperative Algorithms,based on only one technology. Yet, it is difficult to understand what makes a cooperative strategy work, hence it is difficult to design a good cooperative strategy. In this paper, we try to convey our understanding of the performance of hybrid algorithms with respect to two criteria: efficiency and

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Global Constraints and Filtering Algorithms,s chapter is an overview of these two techniques. Some of the most frequently used global constraints are presented. In addition, the filtering algorithms establishing arc consistency for two useful constraints, the alldifferent and the global cardinality constraints, are fully detailed. Filtering a