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Titlebook: Integration of AI and OR Techniques in Constraint Programming; 13th International C Claude-Guy Quimper Conference proceedings 2016 Springer

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Parallel Composition of Scheduling Solvers,brid solvers from high-level model specifications. This paper extends model combinators into the scheduling domain. This is of particular interest as, today, both Constraint Programming (CP) and Mixed-Integer Programming (MIP) perform well on scheduling problems providing different capabilities and
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Scheduling Home Hospice Care with Logic-Based Benders Decomposition,s to match hospice care aides with patients and schedule visits to patient homes, so as to maximize the number of patients serviced by available staff, while meeting requirements of the patient plan of care and scheduling constraints imposed by the patients and the staff. The Benders master problem
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Optimization Models for a Real-World Snow Plow Routing Problem,be cleared the better. Yet in most cities, plans for snowplowing are developed using simple allocation schemes that while easy to implement can also be quite inefficient. In this paper we consider the problem of optimizing the routes of a fleet of snow plowing vehicles, subject to street network top
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A Stochastic Continuous Optimization Backend for MiniZinc with Applications to Geometrical Placemenmpare different solvers which are currently based on either Constraint Programming, Boolean satisfiability, Mixed Integer Linear Programming, and recently Local Search. In this paper we present a stochastic continuous optimization backend for MiniZinc models over real numbers. More specifically, we
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dangerous time. He had loyally supported the policy of rearmament begun under Baldwin but was deeply concerned that the costs to be incurred, if the programs desired by the armed services were fully implemented, might be ruinous. At the same time, he was also conscious of the growth of the Axis war
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