A new adaptive algorithm for convex quadratic multicriteria optimization
Fliege, Jörg, Heermann, Christoph and Weyers, Bernd (2004) A new adaptive algorithm for convex quadratic multicriteria optimization. In, Branke, J., Deb, K., Miettinen, K. and Steuer, R.E. (eds.) Practical Approaches to Multi-Objective Optimization. Dagstuhl, Germany, Schloss Dagstuhl. (Dagstuhl Seminar Proceedings 04461).
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Description/Abstract
We present a new adaptive algorithm for convex quadratic multicriteria optimization. The algorithm is able to adaptively rene the approximation to the set of ecient points by way of a warm-start interior-point scalarization approach. Numerical results show that this technique is faster than a standard method used for this problem.
| Item Type: | Book Section |
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| Related URLs: | |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | University Structure - Pre August 2011 > School of Mathematics > Operational Research |
| Item ID: | 177345 |
| Date Deposited: | 18 Mar 2011 08:26 |
| Last Modified: | 02 Mar 2012 13:59 |
| Contributors: | Fliege, Jörg (Author) Heermann, Christoph (Author) Weyers, Bernd (Author) Branke, J. (Editor) Deb, K. (Editor) Miettinen, K. (Editor) Steuer, R.E. (Editor) |
| Date: | April 2004 |
| Status: | Published |
| Publisher: | Schloss Dagstuhl |
| URI: | http://eprints.soton.ac.uk/id/eprint/177345 |
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