Search for dissertations about: "Particle Swarm Optimization"

Showing result 1 - 5 of 17 swedish dissertations containing the words Particle Swarm Optimization.

2. 1. Small-Scale Decentralized Energy Systems : optimization and performance analysis

   Author : Sara Ghaem Sigarchian; Viktoria Martin; Anders Malmquist; Erik Dahlquist; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Small-scale polygeneration energy systems; techno-economic optimization; renewable energy; operating strategy; particle swarm optimization; optimization algorithm; decentralized energy system;

   Abstract : 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. READ MORE

4. 2. Maintenance optimization for power distribution systems

   Author : Patrik Hilber; Lina Bertling; Roland Eriksson; Lalit Goel; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reliability Importance Index; Multiobjective Optimization; Maintenance Optimization; Asset Management; Customer Interruption Cost; Reliability Centred Maintenance RCM ; Reliability Centered Asset Management RCAM ; Monte Carlo Simulation; Evolutionary Particle Swarm Optimization.; Electric power engineering; Elkraftteknik;

   Abstract : 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. READ MORE

5. 3. Coordinated MultiPoint Transmission with Incomplete Information

   Author : Tilak Rajesh Lakshmana; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; scheduling; precoding; coordinated multipoint; joint transmission; backhauling; particle swarm optimization; decentralized; stochastic optimization; convex optimization; efficient backhauling; centralized;

   Abstract : 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. READ MORE

6. 4. Efficient Backhauling in Cooperative MultiPoint Cellular Networks

   Author : Tilak Rajesh Lakshmana; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Coordinated multipoint; scheduling; quantization errors; precoding; particle swarm optimization; stochastic optimization; decentralized architecture; prediction errors;

   Abstract : 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. READ MORE

7. 5. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

   Author : Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

   Abstract : 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. READ MORE