@ARTICLE{Kawecka2024:i8132,
	author="{Kawecka, Elżbieta and Puzio, Piotr}",
	title="{The Moth-Flame Optimization Algorithm of Abrasive Water Jet Cutting Process}",
	year="2024",
	type="artykuł naukowy / referat",
	language="en",
	journal="{Procedia Computer Science}",
	issn="1877-0509",
	volume="246",
	pages="2912--2921",
	doi="10.1016/j.procs.2024.09.379",
	url="https://www.sciencedirect.com/science/article/pii/S1877050924024128",
	keywords="Optimization algorithms; meta-heuristic algorithms; Moth-Flame Optimization algorithm; Abrasive Water Jet (AWJ)",
	abstract="{The article presents the possibility of using the Moth-Flame Optimization (MFO) algorithm for Abrasive Water Jet machining (AWJ) of structural steel materials. In order to carry out the optimization, an original program was written in Python programming language. In turn, for this optimization process the objective function was determined using the Response Surface Methodology (RSM). Then, a set of control parameters was determined at which the value of the objective function reaches an extreme value. The optimal value calculated based on the Moth-Flame Optimization algorithm was compared with the value of the best effect determined experimentally.}",
}