Sökning: "Heuristic optimization technique"
Visar resultat 1 - 5 av 19 avhandlingar innehållade orden Heuristic optimization technique.
1. Accelerating Convergence of Large-scale Optimization Algorithms
Sammanfattning : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. LÄS MER
2. Hydro-mechanical optimization of a wave energy converter
Sammanfattning : Wave energy conversion technology has gained popularity due to its potential to be-come one of the most preferred energy sources. Its high energy density and low car-bon footprint have inspired the development of many wave energy converter (WEC) technologies, few of which have made their way to commercialisation, and many are progressing. LÄS MER
3. Strategies, Methods and Tools for Solving Long-term Transmission Expansion Planning in Large-scale Power Systems
Sammanfattning : Driven by a number of factors, the electric power industry is expected to undergo a paradigm shift with a considerably increased level of variable energy sources. A significant integration of such sources requires heavy transmission investments over geographically wide and large-scale networks. LÄS MER
4. Energy and Route Optimization of Moving Devices
Sammanfattning : This thesis highlights our efforts in energy and route optimization of moving devices. We have focused on three categories of such devices; industrial robots in a multi-robot environment, generic vehicles in a vehicle routing problem (VRP) context, automated guided vehicles (AGVs) in a large-scale flexible manufacturing system (FMS). LÄS MER
5. Modeling Width in Spatial Optimization in Raster Space
Sammanfattning : Given a grid of cells, each of which is assigned a numerical value quantifying its utility (or cost) for a certain use, a popular type of problem in geographic information science is raster-based spatial optimization. Such problems commonly seek to find a set of cells that maximizes (or minimizes) that utility (or cost) while adhering to a given set of constraints. LÄS MER