DocumentCode
1794719
Title
Selection of solutions in multi-objective optimization: Decision making and robustness
Author
Gaspar Cunha, A. ; Ferreira, J.C. ; Covas, J.A. ; Recio, G.
Author_Institution
Inst. of Polymers & Composites/I3N, Univ. of Minho, Guimaraes, Portugal
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
16
Lastpage
23
Abstract
A multidisciplinary design an optimization framework based on the use of multi-objective evolutionary algorithms, together with decision making and robustness strategies, was used to optimize the polymer extrusion process. This methodology was applied with the aim to select the best solutions from the Pareto set in a multi-objective environment. The application to a complex polymer extrusion case study demonstrated the validity and usefulness of the approach.
Keywords
Pareto optimisation; decision making; evolutionary computation; extrusion; polymers; Pareto set; complex polymer extrusion process; decision making; multiobjective environment; multiobjective evolutionary algorithms; multiobjective optimization; optimization framework; robustness strategies; solutions selection; Optical wavelength conversion; decision making; evolutionary algorithms; multi-objective; polymer extrusion; robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/MCDM.2014.7007183
Filename
7007183
Link To Document