prikaz prve stranice dokumenta Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore
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master's thesis
Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:451389
Zurak, Sandra
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zurak, S. (2022). Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:451389

Zurak, Sandra. "Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:451389

Zurak, Sandra. "Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:451389

Zurak, S. (2022). 'Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 10 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:451389

Zurak S. Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 May 10] Available at: https://urn.nsk.hr/urn:nbn:hr:168:451389

S. Zurak, "Analiza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:451389

Metadata
TitleAnaliza dimenzionalno ograničenog genetskog programiranja uz prilagođene operatore
Title (english)Analysis of dimensionally-aware genetic programming with adapted operators
AuthorSandra Zurak
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-06-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog rada je primjena dimenzionalno ograničenog genetskog programiranja na simboličku regresiju. Koriste se jednadžbe iz prirode kao skup podataka koji simbolička regresija prima. Poznata je informacija o mjernim jedinicama kako bi mjerna jedinica cilja bila u skladu s jedinicama ulaznih parametara. Korišteni operatori su operator zamjene stabla, operatori množenja i dijeljenja s cijelim brojem, operator zbrajanja i oduzimanja, operatori sinusa i kosinusa te operator korijenovanja. Algoritmima lokalne pretrage i evolucijskom strategijom dobiveni su brojevi evaluacija potrebni da se postigne najbolje rješenje. Analizirani su i uspoređeni dobiveni podaci.
Abstract (english)
The topic of this paper is the application of dimensionally limited genetic programming to symbolic regression. Equations from nature are used as a set of data that symbolic regression receives. Information on the units of measure is known so that the target unit of measure is consistent with the units of input parameters. The operators used are the tree replacement operator, the multiplication and division operators with integer, the addition and subtraction operator, the sine and cosine operators, and the rooting operator. Local search algorithms and evolutionary strategy have resulted in the numbers of evaluations needed to achieve the best solution. The obtained data were analyzed and compared.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:451389
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 22:05:17