Výsledky vyhledávání - "Schütt, Andreas."

Report

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective

Autor: Baumgartner, Peter, Smith, Daniel, Rana, Mashud, Kapoor, Reena, Tartaglia, Elena, Schutt, Andreas, Rahman, Ashfaqur, Taylor, John, Dunstall, Simon

Data-driven decision making is becoming an integral part of manufacturing companies. Data is collected and commonly used to improve efficiency and produce high quality items for the customers. IoT-based and other forms of object tracking are an emerg

Externí odkaz: http://arxiv.org/abs/2210.01344

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A Constraint Programming Approach for Non-Preemptive Evacuation Scheduling

Autor: Even, Caroline, Schutt, Andreas, Van Hentenryck, Pascal

Large-scale controlled evacuations require emergency services to select evacuation routes, decide departure times, and mobilize resources to issue orders, all under strict time constraints. Existing algorithms almost always allow for preemptive evacu

Externí odkaz: http://arxiv.org/abs/1505.02487

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Explaining Time-Table-Edge-Finding Propagation for the Cumulative Resource Constraint

Autor: Schutt, Andreas, Feydy, Thibaut, Stuckey, Peter J.

Cumulative resource constraints can model scarce resources in scheduling problems or a dimension in packing and cutting problems. In order to efficiently solve such problems with a constraint programming solver, it is important to have strong and fas

Externí odkaz: http://arxiv.org/abs/1208.3015

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Solving the Resource Constrained Project Scheduling Problem with Generalized Precedences by Lazy Clause Generation

Autor: Schutt, Andreas, Feydy, Thibaut, Stuckey, Peter J., Wallace, Mark G.

The technical report presents a generic exact solution approach for minimizing the project duration of the resource-constrained project scheduling problem with generalized precedences (Rcpsp/max). The approach uses lazy clause generation, i.e., a hyb

Externí odkaz: http://arxiv.org/abs/1009.0347

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Incremental Satisfiability and Implication for UTVPI Constraints

Autor: Schutt, Andreas, Stuckey, Peter J.

Unit two-variable-per-inequality (UTVPI) constraints form one of the largest class of integer constraints which are polynomial time solvable (unless P=NP). There is considerable interest in their use for constraint solving, abstract interpretation, s

Externí odkaz: http://arxiv.org/abs/0709.2961

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