Academic Journal
Multi-criteria optimization of the water jet cutting process using the MOEA algorithm.
| Title: | Multi-criteria optimization of the water jet cutting process using the MOEA algorithm. |
|---|---|
| Authors: | Kawecka, Elzbieta1 (AUTHOR) ekawecka@ajp.edu.pl, Podhajecki, Jerzy1 (AUTHOR), Perec, Andrzej1 (AUTHOR) |
| Source: | Procedia Computer Science. 2025, Vol. 270, p5436-5444. 9p. |
| Subject Terms: | Multi-objective optimization, Water jet cutting, Pareto optimum, Mathematical analysis, Engineering, Abrasive machining |
| 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. [ABSTRACT FROM AUTHOR] |
| Database: | Supplemental Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-criteria optimization of the water jet cutting process using the MOEA algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kawecka%2C+Elzbieta%22">Kawecka, Elzbieta</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ekawecka@ajp.edu.pl</i><br /><searchLink fieldCode="AR" term="%22Podhajecki%2C+Jerzy%22">Podhajecki, Jerzy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perec%2C+Andrzej%22">Perec, Andrzej</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Procedia+Computer+Science%22">Procedia Computer Science</searchLink>. 2025, Vol. 270, p5436-5444. 9p. – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Water+jet+cutting%22">Water jet cutting</searchLink><br /><searchLink fieldCode="DE" term="%22Pareto+optimum%22">Pareto optimum</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+analysis%22">Mathematical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering%22">Engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Abrasive+machining%22">Abrasive machining</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edo&AN=189384256 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.procs.2025.10.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 5436 Subjects: – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Water jet cutting Type: general – SubjectFull: Pareto optimum Type: general – SubjectFull: Mathematical analysis Type: general – SubjectFull: Engineering Type: general – SubjectFull: Abrasive machining Type: general Titles: – TitleFull: Multi-criteria optimization of the water jet cutting process using the MOEA algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kawecka, Elzbieta – PersonEntity: Name: NameFull: Podhajecki, Jerzy – PersonEntity: Name: NameFull: Perec, Andrzej IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 18770509 Numbering: – Type: volume Value: 270 Titles: – TitleFull: Procedia Computer Science Type: main |
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