Duboki evolucijski algoritmi za samopodešavanje evolucijskih hiperparametara

master's thesis

• Title (english): Deep evolutionary algorithms for evolutionary parameters self-tuning
• Author: Sandi Homolak
• Mentor: Petar Ćurković (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2022-12, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence

Abstract

U ovom diplomskom radu predlaže se metoda dubokog evolucijskog algoritma temeljena na ugnježđivanju dvaju evolucijskih algoritama s ciljem pronalaska kvalitetne kombinacije hiperparametara algoritama za različite optimizacijske probleme. Dan je pregled područja evolucijskog računarstva s naglaskom na evolucijske algoritme. Opisana je struktura evolucijskih algoritama te raznih metoda koje se koriste za postavljanje njihovih hiperparametara. U nastavku rada slijedi strukturni prikaz metode koja se predlaže te konačno, njezina implementacija na nekoliko standardnih ispitnih zadataka.

Abstract (english)

In this thesis, a deep evolutionary algorithm method based on the nesting of two evolutionary algorithms is proposed with the aim of finding a set of high-quality hyperparameters for different optimization problems. An overview of the field of evolutionary computation with an emphasis on evolution algorithms is given. The structure of evolutionary algorithms and various hyperparameter tuning methods are described. Furthermore, a structural presentation of the purposed method is shown, and finally, its implementation on several benchmark problems.

• Keywords: evolucijsko računarstvo; evolucijski algoritam; postavljanje hiperparametara
• Keywords (english): evolutionary computation; evolutionary algorithm; hyperparameter tuning
• Language: croatian
• URN:NBN: urn:nbn:hr:235:133232
• Study programme: Title: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechatronics and Robotics, Autonomous Systems; Course: Mechatronics and Robotics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-11-29 10:03:03