Empirical Analysis of Artificial Bee Colony Algorithm Parameters (CROSBI ID 672344)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bajer, Dražen ; Zorić, Bruno ; Martinović, Goran
engleski
Empirical Analysis of Artificial Bee Colony Algorithm Parameters
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.
algorithm parameters , artificial bee colony , numerical optimisation , sensitivity analysis
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Podaci o prilogu
109-116.
2018.
objavljeno
10.1109/SST.2018.8564632
Podaci o matičnoj publikaciji
Proceedings of the 3rd International Conference on Smart Systems and Technologies (SST 2018)
Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku
978-1-5386-7189-4
Podaci o skupu
International Conference on Smart Systems and Technologies 2018(SST 2018)
predavanje
10.10.2018-12.10.2018
Osijek, Hrvatska