Data envelopment analysis and Pareto genetic algorithm applied to robust design in multiresponse systems

Data envelopment analysis and Pareto genetic algorithm applied to robust design in multiresponse systems

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This paper shows the use of Data Envelopment Analysis (DEA) to rank and select the solutions found by a Pareto Genetic Algorithm (PGA) to problems of robust design in multiresponse systems with many control and noise factors. The efficiency analysis of the solutions using DEA shows that the PGA fin...

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Bibliographic Details
Main Authors: Enrique Carlos Canessa-Tenazas, Filadelfo De Mateo-Gómez, Wilfredo Fernando Yushimito-Del Valle
Format: Article
Language:English
Published: Universidad de Antioquia 2016-06-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Taguchi methods
Pareto genetic algorithms
data envelopment analysis
robust design
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/22304

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/22304

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