Search for dissertations about: "evolutionary computation"

Showing result 1 - 5 of 25 swedish dissertations containing the words evolutionary computation.

2. 1. Inferring Evolutionary Processes of Humans

   Author : Sen Li; Mattias Jakobsson; Ludovic Orlando; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Approximate Bayesian Computation; TMRCA; demography; human evolution; Bantu-Expansion; Out-of-Africa;

   Abstract : More and more human genomic data has become available in recent years by the improvement of DNA sequencing technologies. These data provide abundant genetic variation information which is an important resource to help us to understand the evolutionary history of humans. READ MORE

4. 2. Contributions to Evolutionary Computation

   Author : Pierre Arne Ingvar Wijkman; Robert Reynolds; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer and systems science; Data- och systemvetenskap; data- och systemvetenskap; Computer and Systems Sciences;

   Abstract : We present in this thesis (1) an alternative model in the field of evolutionary computation, and (2) an experimental platform that can be used to evaluate and compare many different models in evolutionary computation.The presented model is, like other models in evolutionary computation, based on the principle of natural selection. READ MORE

5. 3. 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

6. 4. Neutral and Adaptive Processes Shaping Genetic Variation in Spruce Species

   Author : Michael Stocks; Martin Lascoux; Renaud Vitalis; Uppsala universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; spruce; population genetics; adaptation; evolution; picea; approximate bayesian computation; cline;

   Abstract : Population genetic analyses can provide information about both neutral and selective evolutionary processes shaping genetic variation. In this thesis, extensive population genetic methods were used to make inferences about genetic drift and selection in spruce species. READ MORE

7. 5. Exploring Massively Parallel Models and Architectures for Efficient Computation of Evolutionary Algorithms

   Author : Sven Eklund; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; distributed population models; evolutionary algorithms; symbolic function regression; genetic programming; linear machine code; Diffusion Model; time series forecasting; FPGA; VHDL;

   Abstract : 'Evolutionary algorithms' is the collective name for a group of relatively new stochastic search algorithms that have several unique and interesting properties. However, as with all search algorithms, evolutionary algorithms also have disadvantages. READ MORE