Essays about: "Constraint Solving Problems"
Showing result 6 - 10 of 30 essays containing the words Constraint Solving Problems.
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6. Using maximal feasible subset of constraints to accelerate a logic-based Benders decomposition scheme for a multiprocessor scheduling problem
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : Logic-based Benders decomposition (LBBD) is a strategy for solving discrete optimisation problems. In LBBD, the optimisation problem is divided into a master problem and a subproblem and each part is solved separately. READ MORE
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7. Security Countermeasure Selection as a Constraint Solving Problem
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Network systems often contain vulnerabilities that remain unmitigated in a network for various reasons, such as lack of a patch and limited budget. Adversaries can exploit these existing vulnerabilities through different strategies. READ MORE
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8. A Linter for Static Analysis of MiniZinc Models
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : MiniZinc is a modelling language for constraint satisfaction and optimisation problems. It can be used to solve difficult problems by declaratively modelling them and giving them to a generic solver. A linter, a tool for static analysis, is implemented for MiniZinc to provide analysis for improving models. READ MORE
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9. Scheduling of an underground mine by combining logic based Benders decomposition and a constructive heuristic
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : Underground mining is a complex operation that requires careful planning. The short-term scheduling, which is the scheduling of the tasks involved in the excavation process, is an important part of the planning process. READ MORE
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10. Convergence Properties for Different Null Space Bases When Solving the Initial Margin Optimization Problem Using CMA-ES
University essay from KTH/Matematisk statistikAbstract : This thesis evaluates how the evolutionary algorithm CMA-ES (Covariance Matrix Adaption Evolution Strategy) can be used for optimizing the total initial margin for a network of banks trading bilateral OTC derivatives. The algorithm is a stochastic method for optimization of non-linear and, but not limited to, non-convex functions. READ MORE