Moth Search Algorithm for Bound Constrained Optimization Problems (CROSBI ID 722720)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tuba, Eva ; Capor Hrošik, Romana ; Aihodzic, Adis ; Beko, Marko ; Jovanovic, Raka
engleski
Moth Search Algorithm for Bound Constrained Optimization Problems
Numerous real life problems represent hard optimization problems that cannot be solved by deterministic algorithms. In the past decades, various different methods were proposed for these kind of problems and one of the methods are nature inspired algorithms, especially swarm intelligence algorithms. Moth search optimization algorithm (MSO) is on of the recent swarm intelligence algorithm that has not been thoroughly researched. In this paper we tested MSO algorithm on 15 standard benchmark functions and compared results with particle swarm optimization algorithm. Comparison show that MSO has good characteristics and it outperformed other approach from literature.
swarm intelligence algorithms ; moth search optimization algorithm ; constrained optimization roblems
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Podaci o prilogu
82-91.
2018.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
5th International Conference Modelling and Development of Intelligent Systems (MDIS 2017)
predavanje
23.06.2018-25.06.2018
Sibiu, Rumunjska