Thesis Details

Knihovna pro optimalizační úlohy využívající techniky PSO

Bachelor's Thesis Student: Hruban Milan Academic Year: 2018/2019 Supervisor: Bidlo Michal, doc. Ing., Ph.D.
English title
Particle Swarm Optimization Library
Language
Czech
Abstract

The aim of this thesis is to develop a library that is able to solve optimization tasks using PSO. The library is implemented using Kotlin and is designed to achieve high extensibility and usability. Moreover, a tool for processing and statistical analysis of experiments performed using the library is implemented by means of the Jupyter Notebook environment. The utilization of these tools creates a setup suitable for experimenting with the current and developing new variations of the PSO algorithm.

Keywords

particle swarm optimization, swarm intelligence, artificial intelligence, kotlin, python, jupyter notebook, library

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
13 June 2019
Reviewer
Strnadel Josef, Ing., Ph.D.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HRUBAN, Milan. Knihovna pro optimalizační úlohy využívající techniky PSO. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-13. Supervised by Bidlo Michal. Available from: https://www.fit.vut.cz/study/thesis/22014/
BibTeX 
@bachelorsthesis{FITBT22014,
    author = "Milan Hruban",
    type = "Bachelor's thesis",
    title = "Knihovna pro optimaliza\v{c}n\'{i} \'{u}lohy vyu\v{z}\'{i}vaj\'{i}c\'{i} techniky PSO",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22014/"
}

Theses

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