Titlebook: Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problem; 6th International Co Willem-Jan Hoeve

項目

IBM ILOG CP Optimizer for Detailed Scheduling Illustrated on Three Problemses both the expressivity of the modelling language and the robustness of the automatic search on three problems recently studied in the scheduling literature. We show that all three problems can easily be modelled with CP Optimizer in only a few dozen lines (the complete models are provided) and tha

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Open Constraints in a Boundable Worldd for difficult constraint programming problems where problem construction and problem solving are interleaved. We introduce a new model of open global constraint where the length of the sequence of variables can be constrained but there is no a priori restriction on the variables that might be adde

induct

Sequencing and Counting with the multicost-regular Constraintnnel scheduling problems, where a schedule meets patterns and occurrence requirements which are intricately bound. The optimization problem underlying the . constraint is NP-hard but it admits an efficient Lagrangian relaxation. Hence, we propose a filtering based on this relaxation. The expressiven

dermatomyositis

Bandwidth-Limited Optimal Deployment of Eventually-Serializable Data Servicesance and to increase throughput, objects are replicated at different networked nodes. However, replication induces significant communication costs to maintain replica consistency. Eventually-Serializable Data Service (ESDS) has been proposed to reduce these costs and enable fast operations on data,

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Tightening the Linear Relaxation of a Mixed Integer Nonlinear Program Using Constraint Programminglem. The model is mostly linear but contains bilinear products of continuous variables in the objective function. It is possible to define a linear relaxation of the model leading to a weak bound on the objective value of the optimal solution. A typical method to circumvent this issue is to discreti

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The Polytope of Context-Free Grammar Constraints received a lot of attention in the last few years as it represents an effective and highly expressive modeling entity. Its application has been studied in the field of Constraint Programming, Mixed Integer Programming, and SAT to solve complex decision problems such as shift scheduling. In this the

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Determining the Number of Games Needed to Guarantee an NHL Playoff Spot are primarily heuristic or based on folk wisdom. This paper provides a concrete mechanism for calculating the minimum number of points needed to guarantee a playoff spot in the National Hockey League (NHL). Along with determining how many games need to be won to guarantee a playoff spot comes the n

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