Essays about: "Heuristic Optimisation model"
Showing result 1 - 5 of 7 essays containing the words Heuristic Optimisation model.
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1. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE
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2. Contributions to a New CBLS Backend for MiniZinc
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction problems independently from any particular problem solver and its technology. One technology for solving combinatorial optimisation and satisfaction problems is constraint-based local search (CBLS). READ MORE
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3. Machine Learning for Forecasting Signal Strength in Mobile Networks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : In this thesis we forecast the future signal strength of base stations in mobile networks. Better forecasts might improve handover of mobile phones between base stations, thus improving overall user experience. Future values are forecast using a series of past sig- nal strength measurements. READ MORE
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4. Development of a pitch based wake optimisation control strategy to improve total farm power production
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In this thesis, the effect of pitch based optimisation was explored for a 80 turbine wind farm. Using a modified Jensen wake model and the Particle Swarm Optimisation (PSO) model, a pitch optimisation strategy was created for the dominant turbulence and atmospheric condition for the wind farm. READ MORE
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5. Development of a pitch based wake optimisation control strategy to improve total farm power production
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In this thesis, the effect of pitch based optimisation was explored for a 80 turbine wind farm. Using a modified Jensen wake model and the Particle Swarm Optimisation (PSO) model, a pitch optimisation strategy was created for the dominant turbulence and atmospheric condition for the wind farm. READ MORE