Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 16th International C Louis-Martin Rousseau,Kostas

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Malcontent

Jeremias Berg,Emir Demirović,Peter J. Stuckeyl (MAC) and the security sublayers. The MAC sublayer ensures that the communication resources are shared in a fair way between the different subscriber stations, while taking into account their various QoS requirements. The security sublayer defines the algorithms for encryption of the transmitted d

archenemy

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Gustav Björdal,Pierre Flener,Justin Pearsoncribes two experiments in which we reduce the amount of QRPN. The first experiment demonstrates the elimination of QRPN from the measurement, or QRPN evasion, by modifying how the light from the cavity is detected. The second experiment modifies or squeezes the light that is injected into the optome

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Constraint Programming for Dynamic Symbolic Execution of JavaScript,lies on constraint solvers to solve path conditions and to generate new inputs to explore. DSE tools usually make use of SMT solvers for constraint solving. In this paper, we show that constraint programming (CP) is a powerful alternative or complementary technique for DSE. Specifically, we apply CP

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Sequential and Parallel Solution-Biased Search for Subgraph Algorithms, search makes a heavy commitment to the first branching choice, which is often incorrect. To mitigate this, we introduce and evaluate a new approach, which we call “solution-biased search”. By combining a slightly-random value-ordering heuristic, rapid restarts, and nogood recording, we design an al

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Memorial

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A Status Report on Conflict Analysis in Mixed Integer Nonlinear Programming,are based on linear relaxations and spatial branching work similar as mixed integer programming (MIP) solvers in the sense that they are based on a branch-and-cut algorithm, enhanced by various heuristics, domain propagation, and presolving techniques. However, the analysis of infeasible subproblems