Razvoj aplikacije za navođeno generiranje jednostavnih grafika uporabom genetskog algoritma

undergraduate thesis

• Author: Benjamin Cacan
• Mentor: Tibor Skala (mentor)
• Committee member: Nikolina Stanić Loknar (član povjerenstva)
• Committee member: Tibor Skala (član povjerenstva)
• Committee member: Maja Rudolf (član povjerenstva)
• Granter: University of Zagreb; Faculty of Graphic Arts; Zagreb
• Defense date and country: 2019-09-23, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Graphic Technology

Abstract

U teorijskom dijelu ovaj rad opisuje ključne dijelove genetskog algoritma uspoređujući procese algoritma s procesima prirodne selekcije kako bi objasnio princip rada i svrhu upotrebe genetskog algoritma pri rješavanju složenih problema. Primjenom interaktivne selekcije, za razliku od one klasične, prikazuje se mogućnost primjene genetskog algoritma i u grafičkom dizajnu – generativni dizajn. Praktični dio rada opisuje procese genetskog algoritma funkcijama u JavaScript programskom jeziku uz p5.js biblioteku. Navedeni alati koriste se za razvoj web aplikacije koja korisniku daje mogućnost navođenog generiranja jednostavnih grafika, to jest upravljanja evolucijskim procesom koji generativni dizajn prilagođava korisničkim preferencijama.

Abstract (english)

In the theoretical part, this paper describes the key parts of a genetic algorithm by comparing algorithm processes with natural selection processes to explain the working principle and purpose of using a genetic algorithm to solve complex problems. By using interactive selection, unlike classical selection, the possibility of applying a genetic algorithm in graphic design is shown – generative design. The practical part of the paper describes the genetic algorithm processes with functions in JavaScript programming language with p5.js library. These tools are used to develop a web application that gives the user the ability to generate simple graphics, that is, the ability to manage an evolutionary process that adjusts the generative design to the user's preferences.

• Keywords: genetski algoritam; prirodna selekcija; generativni dizajn
• Keywords (english): genetic algorithm; natural selection; generative design
• Language: croatian
• URN:NBN: urn:nbn:hr:216:136766
• Study programme: Title: Printing technology, course Technical - technological; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka grafičke tehnologije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka grafičke tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-04-20 22:08:11