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undergraduate thesis
Radna okruženja za evolucijsko računanje
2019. urn:nbn:hr:168:404408
Spajić, Hrvoje
University of Zagreb
Faculty of Electrical Engineering and Computing

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Spajić, H. (2019). Radna okruženja za evolucijsko računanje (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:404408

Spajić, Hrvoje. "Radna okruženja za evolucijsko računanje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:404408

Spajić, Hrvoje. "Radna okruženja za evolucijsko računanje." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:404408

Spajić, H. (2019). 'Radna okruženja za evolucijsko računanje', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:404408

Spajić H. Radna okruženja za evolucijsko računanje [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:404408

H. Spajić, "Radna okruženja za evolucijsko računanje", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:404408

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Metadata
TitleRadna okruženja za evolucijsko računanje
Title (english)Evolutionary Computation Frameworks
AuthorHrvoje Spajić
MentorMarin Golub (mentor)
Committee memberMarin Golub (predsjednik povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
Committee memberMaja Buljan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je prikazano rješavanje nekih optimizacijskih problema u različitim radnim okruženjima za različite algoritme evolucijskog računarstva. Pri tome je prikazano i definiranje prilagođenih jedinki i genetskih operatora te implementacija memoizacije i paralelizacije. Napravljena je analiza utjecaja paralelizacije i memoizacije na vremensko izvođenje algoritma.
Abstract (english)
In this paper it is described and shown how to solve some optimization problems in different frameworks for different Evolutionary Computation algorithms. It’s shown how to define custom units, and genetic operators. It is also shown how to implement memoisation and parallelization. A simple analysis is made to show an impact of memoisation and parallelization on time performance of a algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:404408
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 on2020-01-07 22:04:56