Sökning: "Particle Swarm Optimization"
Visar resultat 1 - 5 av 17 avhandlingar innehållade orden Particle Swarm Optimization.
1. Small-Scale Decentralized Energy Systems : optimization and performance analysis
Sammanfattning : Small-scale polygeneration energy systems, providing multiple energy services, such as heating, electricity, cooling, and clean water, using multiple energy sources (renewable and non-renewable) are considered an important component in the energy transition movement. Exploiting locally available energy sources and providing energy services close to the end users have potential environmental, economic, and societal benefits. LÄS MER
2. Maintenance optimization for power distribution systems
Sammanfattning : Maximum asset performance is one of the major goals for electric power distribution system operators (DSOs). To reach this goal minimal life cycle cost and maintenance optimization become crucial while meeting demands from customers and regulators. LÄS MER
3. Coordinated MultiPoint Transmission with Incomplete Information
Sammanfattning : The demand for higher data rates and efficient use of various resources has been an unquenchable thirst across different generations of cellular systems, and it continues to be so. Aggressive reuse of frequency resources in cellular systems gives rise to intercell interference which severely affects the data rate of users at the cell-edge. LÄS MER
4. Efficient Backhauling in Cooperative MultiPoint Cellular Networks
Sammanfattning : The efficient use of the spectrum in cellular systems has given rise to cell-edge user equipments (UEs) being prone to intercell interference. In this regard, coordinated multipoint (CoMP) transmission is a promising technique that aims to improve the UE data rates. LÄS MER
5. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning
Sammanfattning : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. LÄS MER