prikaz prve stranice dokumenta Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja
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undergraduate thesis
Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:300032
Zadravec, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zadravec, N. (2017). Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:300032

Zadravec, Nikola. "Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:300032

Zadravec, Nikola. "Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:300032

Zadravec, N. (2017). 'Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:300032

Zadravec N. Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2025 March 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:300032

N. Zadravec, "Optimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:300032

Metadata
TitleOptimizacija funkcije evolucijskim algoritmom uz analizu strukture rješenja
Title (english)Evolutionary Algorithm Based Function Optimization with Solution Structure Analysis
AuthorNikola Zadravec
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMladen Karan (član povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problem optimizacije sveprisutan je u području računarske znanosti kao i u mnogim drugim područjima. Optimizacijski problem može biti definiran nad diskretnom domenom, kontinuiranom domenom ili mješavinom obaju domena. Ovisno o domeni problema, razvijeno je mnoštvo različitih pristupa za njihovo rješavanje. Dimenzionalnost domene pri tome predstavlja ograničavajući faktor, pri čemu probleme s visoko-dimenzijskim domenama često nije moguće rješavati učinkovito. Jedan od pristupa koji bi kod određenih vrsta problema mogao rezultirati povećanjem učinkovitosti pronalaska kvalitetnih rješenja jest dinamičko smanjenje dimenzionalnosti problema na način da se pojedine komponente domene grupiraju. Primjer takvog pristupa opisan je u radu "Transforming Evolutionary Search into Higher-Level Evolutionary Search by Capturing Problem Structure", IEEE Trans. on Evolutionary Computation, October 2014, Vol 18, No 5.
Abstract (english)
The optimization problem is ubiquitous in the field of computer science as well as in many other areas. The optimization problem can be defined over a discrete domain, a continuous domain, or a mixture of both domain. Depending on the domain of the problem, a multitude of different approaches have been developed for solving them. Domain dimensionality represents a limiting factor, where problems with high-dimensional domains can often not be effectively addressed. One approach that could result in certain types of problems increasing the efficiency of finding quality solutions is dynamic reducing the dimensionality of the problem in a way that individual components domains are grouped. An example of such approach is described in "Transforming evolutionary Search in Higher-Level Evolutionary Search by Capturing problem Structure ", IEEE Trans. On Evolutionary Computation, October 2014, Vol 18, No 5.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:300032
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 02:16:38