Automated Solution Selection in Multi-objective Optimisation
| File | Size | Format | |
|---|---|---|---|
| 51394_1.pdf | 6149Kb | Adobe PDF | View |
| Title | Automated Solution Selection in Multi-objective Optimisation |
|---|---|
| Author | Lewis, Andrew; Ireland, David John |
| Publication Title | IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). |
| Editor | Michalewicz and Reynolds |
| Year Published | 2008 |
| Place of publication | Online |
| Publisher | Online |
| Abstract | This paper proposes an approach to the solution of multi-objective optimisation problems that delivers a single, preferred solution. A conventional, population-based, multiobjective optimisation method is used to provide a set of solutions approximating the Pareto front. As the set of solutions evolves, an approximation to the Pareto front is derived using a Kriging method. This approximate surface is traversed using a single objective optimisation method, driven by a simple, aggregated objective function that expresses design preferences. The approach is demonstrated using a combination of multi-objective particle swarm optimisation (MOPSO) and the Simplex method of Nelder and Mead, applied to several, standard, multi-objective test problems. Good, compromise solutions meeting user-defined design preferences are delivered without manual intervention. |
| Peer Reviewed | Yes |
| Published | Yes |
| Publisher URI | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4625778 |
| Alternative URI | http://dx.doi.org/10.1109/CEC.2008.4631086 |
| Copyright Statement | Copyright 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. |
| ISBN | 978-1-4244-1822-0 |
| Conference name | 2008 IEEE World Congress on Computational Intelligence |
| Location | Hong Kong, China |
| Date From | 2008-06-01 |
| Date To | 2008-06-06 |
| URI | http://hdl.handle.net/10072/22903 |
| Date Accessioned | 2008-07-09 |
| Date Available | 2011-05-04T09:49:51Z |
| Language | en_AU |
| Faculty | Faculty of Science, Environment, Engineering and Technology |
| Subject | PRE2009-Optimisation |
| Publication Type | Conference Publications (Full Written Paper - Refereed) |
| Publication Type Code | e1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/22903
Griffith University copyright notice
Copyright in individual works within the repository belongs to their authors or publishers. You may make a print or digital copy of a work for your personal non-commercial use. All other rights are reserved, except for fair dealings or other user rights granted by the copyright laws of your country.
Footer information
Back to top