Naslov
Application of genetic algorithms in higher education area

Autori
Kučak, Danijel ; Juričić, Vedran ; Đambić, Goran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 30th International DAAAM Symposium "Intelligent Manufacturing & Automation" / Katalinic, Branko - Zadar : DAAAM International Vienna, 2019, 343-347

ISBN
978-3-902734-22-8

Skup
30th DAAAM International Symposium on Intelligent Manufacturing and Automation

Mjesto i datum
Zadar, Hrvatska, 23.10.2019. - 26.10.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetic algorithm ; higher education ; resources allocation ; student performance

Sažetak
In computer science, a genetic algorithm (GA) is a computational method for solving optimization problems. Genetic algorithms are inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high- quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. The application of genetic algorithms in higher education area is the focus of our study. The aim of this paper is to evaluate the possibilities of applying genetic algorithms in the higher education area. This paper identifies and analyses suitable literature, research papers and articles in order to determine their categorization in the field of higher education, to determine the current trends of using genetic algorithms in education, and to determine its current and future applications.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA