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Solving Constraint Optimization Problems in Anytime ...
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由 S Loudni 著作被引用 14 次 — This paper presents a new hybrid method for solv- ing constraint optimization problems in anytime contexts. Discrete optimization problems are mod- elled as ...
New hybrid method for solving constraint optimization ...
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由 S Loudni 著作2001被引用 5 次 — This paper describes a new hybrid method for solving constraint optimization problems in anytime contexts. We use the valued constraint satisfaction problem ...
New hybrid method for solving constraint optimization ...
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由 S Loudni 著作2001被引用 5 次 — This paper describes a new hybrid method for solv- ing constraint optimization problems in anytime contexts. We use the Valued Constraint Satisfaction Problem ( ...
Solving Constraint Optimization Problems in Anytime Contexts.
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2019年8月20日 — Bibliographic details on Solving Constraint Optimization Problems in Anytime Contexts.
Combining VNS with constraint programming for solving ...
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由 S Loudni 著作2008被引用 44 次 — This paper presents an hybrid search method for solving on-line optimization problems that are modelled using the vcsp Valued Constraint Satisfaction ...
Optimum Anytime Bounding for Constraint Optimization ...
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In this paper, we consider Constraint Optimization Problems in a Resource-Bounded context. We observe that both exact and approximate methods produce only ...
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Greyc
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2001. A New Hybrid Method for Solving Constraint Optimization Problems in Anytime Contexts S. Loudni and P. Boizumault, Proceedings of the 13th IEEE ...
Anytime Local Search for Distributed Constraint Optimization
The Association for the Advancement of Artificial Intelligence
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由 R Zivan 著作2008被引用 76 次 — The Distributed Constraint Optimization Problem (DisCOP) is a general model for distributed problem solving that has a wide range of applications in Multi-Agent ...
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Boosting VNS with Neighborhood Heuristics for Solving ...
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由 N Levasseur 著作2008被引用 3 次 — Weighted CSPs (Constraint Satisfaction Problems) are used to model and to solve constraint optimization problems using tree search or local search methods ...
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