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undergraduate thesis
Generiranje stupaca podržanim učenjem za problem rezanja
2023. urn:nbn:hr:168:068673
Veverec, Ivo
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Veverec, I. (2023). Generiranje stupaca podržanim učenjem za problem rezanja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:068673

Veverec, Ivo. "Generiranje stupaca podržanim učenjem za problem rezanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:068673

Veverec, Ivo. "Generiranje stupaca podržanim učenjem za problem rezanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:068673

Veverec, I. (2023). 'Generiranje stupaca podržanim učenjem za problem rezanja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:068673

Veverec I. Generiranje stupaca podržanim učenjem za problem rezanja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:068673

I. Veverec, "Generiranje stupaca podržanim učenjem za problem rezanja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:068673

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Metadata
TitleGeneriranje stupaca podržanim učenjem za problem rezanja
Title (english)Reinforcement learning column generation for the cutting stock problem
AuthorIvo Veverec
MentorMario Brčić (mentor)
Committee memberMario Brčić (predsjednik povjerenstva)
Committee memberMihael Kovač (član povjerenstva)
Committee memberKristijan Poje (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problem rezanja klasičan je NP-težak problem iz područja kombinatorne optimizacije koji se često formulira kao cjelobrojni linearni program. Generiranje stupaca iterativna je metoda za efikasno rješavanje velikih linearnih programa. U ovom radu koristit će se graf neuronska mreža kojoj je cilj ubrzati metodu generiranju stupaca primjenjenu na problem rezanja. Graf neuronska mreže trenirat će se dubokim Q-učenjem, jednim od algoritama koji spadaju u podržano učenje.
Abstract (english)
Cutting stock problem is a classic NP-hard combinatorial optimization problem which is commonly formulated as an integer linear program. Column generation is an iterative method for efficient solving of large linear programs. In this thesis a graph neural network will be used to speed up the column generation method applied to the cutting stock problem. The graph neural network will be trained using deep Q-learning, a reinforcement learning algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:068673
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 on2023-07-13 10:38:40