1 a 5 de 5 Resultados
12 abr. 2024
Severino Fernández Galán, 2024, "Supplementary code for the article: Minimum Modulus Visualization of Algebraic Fractals", https://doi.org/10.21950/H1OBX1, e-cienciaDatos, V1
Description of the dataset Fractals are a family of shapes formed by irregular and fragmented patterns. They can be classified into two main groups: geometric and algebraic. Whereas the former are characterized by a fixed geometric replacement rule, the latter are defined by a re... |
5 abr. 2024
Severino Fernández Galán, 2024, "Supplementary code for the article: Comparative evaluation of the Fast Marching Method and the Fast Evacuation Method for heterogeneous media", https://doi.org/10.21950/QMPYDE, e-cienciaDatos, V1
Description of the dataset The evacuation problem is usually addressed by assuming homogeneous media where pedestrians move freely in the presence of several exits and obstacles. From a more general perspective, this work considers heterogeneous media in which the velocity of ped... |
18 mar. 2024
Severino Fernández Galán, 2024, "Supplementary code for the article: Extending cellular evolutionary algorithms with message passing", https://doi.org/10.21950/GWXPDL, e-cienciaDatos, V1
Cellular evolutionary algorithms (cEAs) use structured populations whose evolutionary cycle is governed by local interactions among individuals. This helps to prevent the premature convergence to local optima that usually takes place in panmictic populations. The present work ext... |
14 mar. 2024
Severino Fernández Galán, 2024, "Supplementary code for the article: Fast Evacuation Method: using an effective dynamic floor field based on efficient pedestrian assignment", https://doi.org/10.21950/95H81E, e-cienciaDatos, V1
The problem of pedestrian evacuation can be addressed through cellular automata incorporating a floor field that indicates promising movements to pedestrians. The two main types of floor field are the static, which represents the shortest path from each cell to an exit (and is us... |
6 mar. 2024
Severino Fernández Galán, 2024, "Supplementary code for the article: Comparative evaluation of region query strategies for DBSCAN clustering", https://doi.org/10.21950/5C1AEZ, e-cienciaDatos, V1
Clustering is a technique that allows data to be organized into groups of similar objects. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) constitutes a popular clustering algorithm that relies on a density-based notion of cluster and is designed to discover... |
