@INBOOK{Rawicki2024:i7701,
	author="{Rawicki, Stanisław and Podhajecki, Jerzy}",
	title="{Investigation on Selected Meta-heuristic Algorithms for Optimization the Abrasive Water Jet Cutting Process - Preliminary Results}",
	year="2024",
	type="rozdział w monografii naukowej / referat",
	language="en",
	booktitle="{XIV International Conference Electromachining 2023}",
	publisher="{American Institute of Physics}",
	series="{AIP Conference Proceedings}",
	pages="20032-1--20032-6",
	doi="10.1063/5.0207626",
	url="https://pubs.aip.org/aip/acp/article/3130/1/020032/3279859/Investigation-on-selected-meta-heuristic",
	abstract="{The aim of this study is to present the effectiveness of two algorithms, namely Simulated Annealing (SA) and
Grey Wolf Optimization (GWO), in the optimization of the water-abrasive cutting process. The aim was to maximize the
thickness of the cut by accurately predicting the optimum parameters of the water-abrasive cutting process, including the
nozzle diameter, the concentration of the abrasive, and the feed rate. The objective function for the optimization has been
derived using the Response Surface methodology. The results highlight the potential utility of the SA and GWO
algorithms in the effective solution of optimization problems in the context of waterjet cutting processes.}",
}