Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/859
| Title: | Incorporating a priori preferences in a vector PSO algorithm to find arbitrary fractions of the pareto front of multiobjective design problems | Authors: | Ho, SL Yang, S Ni, G |
Issue Date: | Jun-2008 | Source: | IEEE transactions on magnetics, June 2008, v. 44, no. 6, p. 1038-1041 | Abstract: | To incorporate the knowledge or preference of a decision maker or domain expert into a vector optimizer in the search for a series of subsets of the entire Pareto optimal solutions, a vector particle swarm optimization (PSO) algorithm that implements the reference point-based approach together with a desirability function is proposed. The fitness assignment strategy and the neighborhood relationship of the PSO algorithm are redefined to facilitate the realization of the aforementioned objective. To validate and demonstrate the advantages of the proposed algorithm, its applications on two different multiobjective problems are reported. | Keywords: | Desirability function Multiobjective design Particle swarm optimization (PSO) algorithm Reference point Algorithms Decision making Multiobjective optimization Pareto principle Problem solving |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on magnetics | ISSN: | 0018-9464 | EISSN: | 1941-0069 | DOI: | 10.1109/TMAG.2007.914861 | Rights: | © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| arbitrary-fractions_08.pdf | 182.89 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
90
Last Week
1
1
Last month
Citations as of May 28, 2023
Downloads
181
Citations as of May 28, 2023
SCOPUSTM
Citations
21
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023
WEB OF SCIENCETM
Citations
13
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.