Home > Search Results: keywords:"umělá evoluce"
Search:
Search Tips :: Advanced Search
Search collections:
Sort by: Display results: Output format:
National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Artificial life
 Weigl, František ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This bachelor thesis deals with the issue of artificial life. The first part provides a brief overview of the history of artificial life and the current division of artificial life. The second part describes some important software models of artificial life. The last part of the work contains simple experiments with a cellular automaton.
Detailed record
Artificial life
 Weigl, František ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This bachelor thesis deals with the issue of artificial life. The first part provides a brief overview of the history of artificial life and the current division of artificial life. The second part describes some important software models of artificial life. The last part of the work contains simple experiments with a cellular automaton.
Detailed record
Genetic programming in Swift for human-competitive evolution
 Mánek, Petr ; Mráz, František (advisor) ; Gemrot, Jakub (referee)
Imitating the process of natural selection, evolutionary algorithms have shown to be efficient search techniques for optimization and machine learning in poorly understood and irregular spaces. In this thesis, we implement a library containing essential implementation of such algorithms in recently unveiled programming language Swift. The result is a lightweight framework compatible with Linux- based computing clusters as well as mobile devices. Such wide range of supported platforms allows for successful application even in situations, where signals from various sensors have to be acquired and processed independently of other devices. In addition, thanks to Swift's minimalistic and functional syntax, the implementation of bundled algorithms and their sample usage clearly demonstrates fundamentals of genetic programming, making the work usable in teaching and quick prototyping of evolutionary algorithms. Powered by TCPDF (www.tcpdf.org)
Detailed record

Interested in being notified about new results for this query?
Subscribe to the RSS feed.
Digital Repository :: Search :: Submit :: Personalize :: Help
Powered by Invenio v1.1.2
Maintained by admin.invenio@techlib.cz
This site is also available in the following languages:
Česky  English