Vojtěch Uher
YOU?
Author Swipe
View article: Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation
Randomization of Low-discrepancy Sampling Designs by Cranley-Patterson Rotation Open
Complex problems are often addressed by methods from the domain of computational intelligence, including metaheuristic algorithms. Different metaheuristics have different abilities to solve specific types of problems and the selection of s…
View article: Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms
Impact of Different Discrete Sampling Strategies on Fitness Landscape Analysis Based on Histograms Open
Complex problems are frequently tackled using techniques from the realm of computational intelligence and metaheuristic algorithms. Selection of a metaheuristic from the wide range of algorithms possessing various properties to address spe…
View article: Resistivity Changes of Electrically Conductive Silicate Composites Loaded in Different Directions
Resistivity Changes of Electrically Conductive Silicate Composites Loaded in Different Directions Open
Electrically conductive composites based on silicates offer new possibilities for the use of composites not only in civil engineering but in the construction industry in general. These materials can be used, for example, for resistive heat…
View article: The Effect of Exposure Conditions on the Properties of Cementitious Composites with Reduced Electrical Resistivity
The Effect of Exposure Conditions on the Properties of Cementitious Composites with Reduced Electrical Resistivity Open
Cement composite materials with reduced resistivity are specialized building materials, which are constantly pushing their limits. Research into these composites requires a study of the influences of exposure conditions on resistivity. The…
View article: Spatial data structures for point cloud analysis and visualization
Spatial data structures for point cloud analysis and visualization Open
Efficient representation of multidimensional point data is a crucial task in many scientific areas such as data visualization, computational geometry, image processing, geographic information systems and others. As the point datasets are g…
View article: Hierarchical Hexagonal Clustering and Indexing
Hierarchical Hexagonal Clustering and Indexing Open
Space-filling curves (SFCs) represent an efficient and straightforward method for sparse-space indexing to transform an n-dimensional space into a one-dimensional representation. This is often applied for multidimensional point indexing wh…
View article: Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds
Utilization of the Discrete Differential Evolution for Optimization in Multidimensional Point Clouds Open
The Differential Evolution (DE) is a widely used bioinspired optimization algorithm developed by Storn and Price. It is popular for its simplicity and robustness. This algorithm was primarily designed for real-valued problems and continuou…