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Empirical Analysis of Artificial Bee Colony Algorithm Parameters


Bajer, Dražen; Zorić, Bruno; Martinović, Goran
Empirical Analysis of Artificial Bee Colony Algorithm Parameters // Proceedings of the 3rd International Conference on Smart Systems and Technologies (SST 2018) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno (ur.).
Osijek: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 2018. str. 109-116 doi:10.1109/SST.2018.8564632 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Empirical Analysis of Artificial Bee Colony Algorithm Parameters

Autori
Bajer, Dražen ; Zorić, Bruno ; Martinović, Goran

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

Izvornik
Proceedings of the 3rd International Conference on Smart Systems and Technologies (SST 2018) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno - Osijek : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, 2018, 109-116

ISBN
978-1-5386-7189-4

Skup
International Conference on Smart Systems and Technologies (SST 2018)

Mjesto i datum
Osijek, Hrvatska, 10-12.10.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Algorithm parameters , artificial bee colony , numerical optimisation , sensitivity analysis

Sažetak
The design of smart systems frequently includes various problems such as parameter estimation and optimisation, feature subset selection or model tuning. As a rule, these problems are quite challenging and as a way of tackling them, bio-inspired algorithms are recently becoming the approach of choice. Although a multitude of these algorithms is available, the artificial bee colony algorithm represents a viable candidate due to its good performance that has been demonstrated in a wide array of applications. However, the aforementioned performance is heavily reliant on the chosen parameter values. Tuning those parameters represents a significant ordeal. This paper is aimed at the empirical analysis of parameter influence. To this end, a somewhat detailed experimental analysis is conducted in order to compare the effectiveness of numerous parameter combinations. The paper also endeavours to provide certain guidelines with the hope of easing the utilisation of said algorithm for researchers and practitioners alike.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (Sven Lončarić, EK)

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

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