Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 21st International C Bistra Dilkina Conference pro

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Andrea Visentin,Aodh Ó Gallchóir,Jens Kärcher,Herbert Meyrpread spectrum/CDMA. The book is arranged into 13 chapters. In chapter 1, some key specifications of 3G WCDMA are described and discussed. These techniques incl978-1-4757-7534-1978-0-306-46999-2Series ISSN 0893-3405

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Integration of Constraint Programming, Artificial Intelligence, and Operations Research21st International C

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,Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model,ling an additional SB candidate with the reward in expected tree size reduction. We then leverage the insight from the abstract model to design a new stopping criterion for SB, which fits a distribution to the dual gains and, at each node, dynamically continues or interrupts SB. This algorithm, whic

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,Minimizing the Cost of Leveraging Influencers in Social Networks: IP and CP Approaches,estigate and compare the efficiency and effectiveness of our approaches, we perform a series of experiments using the existing small instances and a new publicly available benchmark of 14 large instances. Our findings yield new optimal solutions to 185 small instances that were previously unsolved,

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,Learning Deterministic Surrogates for Robust Convex QCQPs,t we solve two smaller and potentially easier problems in training. The second layer (worst case problem) can be seen as a regularisation approach for predict-and-optimise by fitting to a neighbourhood of problems instead of just a point observation. We motivate a reformulation of the worst-case pro

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SMT-Based Repair of Disjunctive Temporal Networks with Uncertainty: Strong and Weak Controllabilityof temporal networks, namely the Disjunctive Temporal Networks with Uncertainty. We use the Satisfiability Modulo Theory framework to formally encode and solve the problem, and we devise a uniform solution encompassing different “levels” of controllability, namely strong and weak. Moreover, we provi

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