Essays about: "Schemaläggning Problem"
Showing result 11 - 15 of 52 essays containing the words Schemaläggning Problem.
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11. Randomized heuristic scheduling of electrical distribution network maintenance in spatially clustered balanced zones
University essay from KTH/GeoinformatikAbstract : Reliable electricity distribution systems are crucial; hence, the maintenance of such systems is highly important, and in Sweden strictly regulated. Poorly planned maintenance scheduling leads unnecessary driving which contributes to increased emissions and costs. READ MORE
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12. Implementation of a Fast Approximation Algorithm for Precedence Constrained Scheduling
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : We present an implementation of a very recent approximation algorithm for scheduling jobs on a single machine with precedence constraints, minimising the total weighted completion time. We also evaluate the performance of this implementation. READ MORE
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13. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. READ MORE
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14. Congestion Management of EV Charging in Distribution Networks
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : The societal integration of electric vehicles (EVs) imposes several challenges on the electrical grid, where congestion and overcurrents through related components are of focus for this thesis. Active network management through control systems is one flexible solution to this problem, and in the project Active Network Management for All (ANM4L), a congestion management algorithm utilizing PI controllers has been developed. READ MORE
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15. Using Machine Learning for Predictive Maintenance in Modern Ground-Based Radar Systems
University essay from KTH/Matematisk statistikAbstract : Military systems are often part of critical operations where unplanned downtime should be avoided at all costs. Using modern machine learning algorithms it could be possible to predict when, where, and at what time a fault is likely to occur which enables time for ordering replacement parts and scheduling maintenance. READ MORE