@ARTICLE{Kawecka2025:i8963,
	author="{Kawecka, Elżbieta and Podhajecki, Jerzy and Perec, Andrzej}",
	title="{Multi-criteria optimization of the water jet cutting process using the MOEA algorithm}",
	year="2025",
	type="artykuł naukowy / referat",
	language="en",
	journal="{Procedia Computer Science}",
	issn="1877-0509",
	number="270",
	pages="5436--5444",
	doi="10.1016/j.procs.2025.10.011",
	url="https://www.sciencedirect.com/science/article/pii/S1877050925033447",
	keywords="waterjet abrasive cutting; multi-objective optimisation; genetic algorithm",
	abstract="{The article explores multi-objective optimization problems (MOOP) commonly encountered in engineering scenarios, focusing specifically on optimizing waterjet abrasive cutting. It uses an evolutionary algorithm (Multi-Objective Evolutionary Algorithm - MOEA) to optimize key process parameters such as maximum cutting depth and minimal roughness. The article presents a mathematical model of multi-criteria methods and discusses Pareto optimality as necessary to solve multiple conflicting objectives. The research utilized MOEA, operating on evolution and natural selection principles, to find Pareto-efficient solutions that balance the trade-offs between objectives. The results included various simulations showing how different settings of parameters like abrasive mass flow rate, pressure, and traverse speed affected the outcomes.}",
}