Titlebook: Recent Advances in Constraints; Joint ERCIM/CoLogNET Boi V. Faltings,Adrian Petcu,Francesca Rossi Conference proceedings 2005 Springer-Verl

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/822685.jpg

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https://doi.org/10.1007/b106890Variable; algorithms; constraint logic programming; constraint optimization; constraint problem solving;

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Inculcate

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Characterization of a New Restart Strategy for Randomized Backtrack Searchearch techniques for solving random problems and a tight real-world resource allocation problem. The restart strategy proposed by Gomes et al. [1] requires the specification of a cutoff value determined from an overall profile of the cost of search for solving the problem. When no such profile is kn

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Dynamic Distributed BackJumping paper presents a distributed version of the centralized BackJumping algorithm, called the . – . algorithm. The advantage is twofold: . inherits the strength of synchronous algorithms that enables it to easily combine with a powerful dynamic ordering of variables and values, and still it maintains s

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A Value Ordering Heuristic for Local Search in Distributed Resource Allocation can be used to achieve desirable properties (increased effectiveness, or better allocations). The specific distributed resource allocation problem that we consider is sensor allocation in sensor networks, and the algorithmic skeleton that we use to experiment this heuristic is the distributed break

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Automatically Exploiting Symmetries in Constraint Programmingar equations, then compiles them into SAT instances via Boolean logic circuits. While in general reduction to SAT may lead to the loss of structure, we specifically detect several types of structure in high-level input and use them in compilation. Linearity is preserved by the use of pseudo-Boolean