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 | Size | Format | |
|---|---|---|---|---|
| costa-cmas-2021.pdf Restricted Access | 23.32 MB | Adobe PDF | View/Open |
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