indoctrinate 发表于 2025-3-30 10:47:10

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RUPT 发表于 2025-3-30 12:59:21

Solution Enumeration for Projected Boolean Search Problemshis problem and propose a new algorithm computing projective solutions. Although we have implemented our approach in the context of Answer Set Programming, it is readily applicable to any solver based on modern Boolean constraint technology.

single 发表于 2025-3-30 19:16:15

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TAG 发表于 2025-3-30 23:51:06

Sequencing and Counting with the multicost-regular Constraintess and the efficiency of this new constraint is experimented on personnel scheduling benchmark instances with standard work regulations. The comparative empirical results show how . can significantly outperform a decomposed model with . and . constraints.

Asperity 发表于 2025-3-31 03:44:42

The Polytope of Context-Free Grammar Constraintsoretical study we demonstrate how the constraint can be linearized efficiently. In particular, we propose a lifted polytope which has only integer extreme points. Based on this result, for shift scheduling problems we prove the equivalence of Dantzig’s original set covering model and a lately introduced grammar-based model.

牵连 发表于 2025-3-31 05:50:34

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秘密会议 发表于 2025-3-31 10:53:50

Scalable Load Balancing in Nurse to Patient Assignment Problemsgramming (CP) models of increasing complexity to solve large instances with hundreds of patients and nurses in a few seconds using the . optimization system. The CP models use the recent spread global constraint to minimize the variance, as well as an exact decomposition technique.

botany 发表于 2025-3-31 16:12:35

Conference proceedings 2009onstraint programming, artificial intelligence, and operations research and present new techniques or new applications in combinatorial optimization, thus exploring ways of solving large-scale, practical optimization problems through integration and hybridization of the fields‘ different techniques.

猛然一拉 发表于 2025-3-31 20:34:30

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Ordeal 发表于 2025-3-31 22:31:28

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