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Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 4th International Co Pascal Hentenryc

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0302-9743 ully reviewed and selected from 80 submissions. Methodological and foundational issues from AI, OR, and algorithmics are presented as well as applications to the solution of combinatorial optimization problems in various fields via constraint programming..978-3-540-72396-7978-3-540-72397-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Connections in Networks: Hardness of Feasibility Versus Optimality,optimization. They surprisingly show that proving optimality of the solution of the feasible instances can be substantially easier than proving infeasibility of the infeasible instances in a computationally hard region of the problem space. We also observe an intriguing easy-hard-easy profile for the optimization component itself.
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A Global Constraint for Total Weighted Completion Time, scheduling for minimizing the total weighted completion time. Since our eventual goal is to use the global constraint as part of a larger optimization problem, we view this performance as very promising. We also sketch the application of the global constraint to cumulative resources and to problems with multiple machines.
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A Position-Based Propagator for the Open-Shop Problem,ne or one job and its time complexity is in ., where . is either the number of jobs or machines. Experiments on the Open-Shop Problem show that the propagator adds pruning to state-of-the-art constraint satisfaction techniques to solve this problem.
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Replenishment Planning for Stochastic Inventory Systems with Shortage Cost,ty of the cost-function is exploited during the search to compute bounds. We use the optimal solutions to analyze the quality of the solutions provided by an approximate MIP approach that exploits a piecewise linear approximation for the cost function.
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