Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/149744
Author(s): Costa, L
Espírito, Santo, I
Oliveira, P
Title: Solving Multiobjective Engineering Design Problems Through a Scalarized Augmented Lagrangian Algorithm (SCAL)
Publisher: Springer
Issue Date: 2021
Abstract: In this paper, a set of multiobjective engineering design problems is solved using a methodology that combines an Augmented Lagrangian technique to deal with the constraints and the Augmented Weighted Tchebycheff method to tackle the multiobjective nature of the problems to find the Pareto frontier. In order to compare and validate the performance of this strategy, the problems were also solved with gamultiobj from MATLAB™. We present the algorithm, as well as some results that seem very promising.
Subject: Engineering optimization
Multi-objective constrained optimization
Augmented weighted tchebycheff
Augmented lagrangian
Pattern search
DOI: 10.1007/978-3-030-57422-2_4
URI: https://hdl.handle.net/10216/149744
Source: Computational Methods in Applied Sciences, vol 55
Related Information: info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB/00319/2020/PT
Document Type: Capítulo ou Parte de Livro
Rights: restrictedAccess
Appears in Collections:ISPUP - Capítulo ou Parte de Livro

Files in This Item:
File Description SizeFormat 
costa-cmas-2021.pdf
  Restricted Access
23.32 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.