Institution
Technical University of Ostrava
Education•Ostrava, Czechia•
About: Technical University of Ostrava is a education organization based out in Ostrava, Czechia. It is known for research contribution in the topics: Evolutionary algorithm & Population. The organization has 4186 authors who have published 8936 publications receiving 65393 citations. The organization is also known as: Vysoká škola báňská – Technická univerzita Ostrava & VŠB – Technical University of Ostrava.
Topics: Evolutionary algorithm, Population, Artificial neural network, Fuzzy logic, Differential evolution
Papers published on a yearly basis
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Vilnius University1, University of Ferrara2, Aarhus University3, University of Oslo4, Royal Institute of Technology5, Electromagnetic Geoservices6, University of Trieste7, Norwegian Computing Center8, University of Southern Denmark9, University of Santiago de Compostela10, Danske Bank11, Ruhr University Bochum12, Norwegian Meteorological Institute13, Norwegian Defence Research Establishment14, University of Auckland15, Norwegian University of Science and Technology16, Information Technology University17, Technical University of Ostrava18, Linköping University19, Karlsruhe Institute of Technology20, ETH Zurich21, Australian National University22, University of Modena and Reggio Emilia23, Cisco Systems, Inc.24, University of Buenos Aires25, University of Copenhagen26, University of Erlangen-Nuremberg27, Kazimierz Wielki University in Bydgoszcz28, National Scientific and Technical Research Council29, University of Valencia30, Paul Sabatier University31, University of Melbourne32, University of Nottingham33, University of Bristol34, CLC bio35, Princeton University36, La Trobe University37, Clemson University38
TL;DR: Dalton is a powerful general‐purpose program system for the study of molecular electronic structure at the Hartree–Fock, Kohn–Sham, multiconfigurational self‐consistent‐field, Møller–Plesset, configuration‐interaction, and coupled‐cluster levels of theory.
Abstract: Dalton is a powerful general-purpose program system for the study of molecular electronic structure at the Hartree-Fock, Kohn-Sham, multiconfigurational self-consistent-field, MOller-Plesset, confi ...
1,212 citations
TL;DR: In this paper, pure TiO 2 anatase particles with a crystallite diameters ranging from 4.5 to 29nm were prepared by precipitation and sol-gel method, characterized by X-ray diffraction (XRD), surface area measurement, UV-vis and scanning electron microscopy (SEM) and tested in CO 2 photocatalytic reduction.
Abstract: Pure TiO 2 anatase particles with a crystallite diameters ranging from 4.5 to 29 nm were prepared by precipitation and sol–gel method, characterized by X-ray diffraction (XRD), BET surface area measurement, UV–vis and scanning electron microscopy (SEM) and tested in CO 2 photocatalytic reduction. Methane and methanol were the main reduction products. The optimum particle size corresponding to the highest yields of both products was 14 nm. The observed optimum particle size is a result of competing effects of specific surface area, charge–carrier dynamics and light absorption efficiency.
459 citations
TL;DR: A broad spectrum of FNN optimization methodologies including conventional and metaheuristic approaches are summarized, which provides interesting research challenges for future research to cope-up with the present information processing era.
398 citations
01 Jan 2016
TL;DR: Basic principles of Self-Organizing Migrating Algorithm (SOMA) are discussed, its use and selected applications, and all mentioned SOMA use is completely referenced for detailed reading and further research.
Abstract: This chapter discuss basic principles of Self-Organizing Migrating Algorithm (SOMA) that has been firstly proposed in 1999 and published consequently in various journals, book chapters and conferences. Algorithm itself is, from today classification point of view, between memetic and swarm algorithms and is based on competetive-cooperative strategies, that generate new solutions. During its existence it has been tested on various problems, including realtime + black box ones, it has been parallelized and used with such algorithms like genetic programming, grammatical evolution or/and analytic programming in order to synthesize complex structures—solutions of different problems. In this chapter are discussed basics of algorithm, its use and selected applications. All mentioned SOMA use is completely referenced for detailed reading and further research.
375 citations
TL;DR: In this article, the catalysts were tested in CO2 photocatalytic reduction and characterized by X-ray diffraction (XRD), nitrogen adsorption measurement and UV-vis.
Abstract: Pure TiO2 and various silver-enriched TiO2 powders were prepared by the sol–gel process controlled in the reverse micellar environment. The catalysts were tested in CO2 photocatalytic reduction and characterized by X-ray diffraction (XRD), nitrogen adsorption measurement and UV–vis. Methane and methanol were the main reduction products. The yield of methane and methanol increases when modifying the TiO2 by silver incorporation is caused by two mechanisms: up to 5% of Ag in TiO2 the Ag impurity band inside the TiO2 bandgap decreases the absorption edge and increases so the electron–hole pair generation, above 5% of Ag in TiO2 Ag metallic clusters are formed in TiO2 crystals with Shottky barrier at the metal–semiconductor interface, which spatially separates electron and holes and increases their lifetime (decreases probability of their recombination).
321 citations
Authors
Showing all 4213 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Pavel Hobza | 107 | 564 | 48080 |
| Stanislav Pospisil | 105 | 966 | 44510 |
| Salvatore Capozziello | 97 | 916 | 39364 |
| Ajith Abraham | 86 | 1113 | 31834 |
| Roland A. Fischer | 84 | 731 | 33014 |
| Radek Zboril | 74 | 359 | 29404 |
| Shuichi Miyazaki | 69 | 455 | 18513 |
| Michal Otyepka | 66 | 345 | 17943 |
| Mark H. Rümmeli | 63 | 403 | 14536 |
| Enrique Alba | 57 | 530 | 14535 |
| Radek Zbořil | 56 | 255 | 11980 |
| Jeng-Shyang Pan | 50 | 789 | 11645 |
| Pavel Tomancak | 46 | 139 | 44797 |
| Pavel Kubát | 37 | 166 | 3844 |
| Vladimir Šepelák | 37 | 148 | 3927 |