Sökning: "Evolutionary Algorithms"

Visar resultat 1 - 5 av 62 avhandlingar innehållade orden Evolutionary Algorithms.

1. 1. Constructing Evolutionary Trees - Algorithms and Complexity

   Författare :Anna Östlin; Institutionen för datavetenskap; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer science; Maximum homeomorphic subtrees; Consensus trees; Experiment model; Evolutionary trees; Complexity; Computational biology; Algorithms; Data structures; numerical analysis; systems; control; Datalogi; numerisk analys; system; kontroll; Biology; Biologi;

   Sammanfattning : In this thesis three general problems concerning construction of evolutionary trees are considered. Algorithms for the problems are presented and the complexity of the problems is investigated. The thesis consists of three corresponding parts. The first part is devoted to the problem of constructing evolutionary trees in the experiment model. LÄS MER

3. 2. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

   Författare :Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
   Nyckelord :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;

   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

4. 3. Exact and approximation algorithms for graph problems with some biological applications

   Författare :Eva-Marta Lundell; Data Vetenskap; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Graph algorithms; computational biology; approximation algorithms; computational complexity; evolutionary trees; maximum agreement subtree; graph embedding; shortest cycle; clique partitioning;

   Sammanfattning : In this thesis we study several combinatorial problems in algorithmic graph theory and computational biology, and different algorithmical approaches for solving them. In particular, we focus on graph algorithms, seeking for the most part polynomial or sub-exponential exact solutions, but in some cases also approximate solutions. LÄS MER

5. 4. Advancing Evolutionary Biology: Genomics, Bayesian Statistics, and Machine Learning

   Författare :Tobias Andermann; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; computational biology; bioinformatics; phylogenetics; neural networks; NGS; target capture; Illumina sequencing; fossils; IUCN conservation status; extinction rates;

   Sammanfattning : During the recent decades the field of evolutionary biology has entered the era of big data, which has transformed the field into an increasingly computational discipline. In this thesis I present novel computational method developments, including their application in empirical case studies. LÄS MER

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

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

   Sammanfattning : '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. LÄS MER