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).

Download

Full text not available from this repository.

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
Related URLs:
Subjects: Q Science > QA Mathematics
Divisions: University Structure - Pre August 2011 > School of Mathematics > Operational Research
ePrint ID: 177345
Date Deposited: 18 Mar 2011 08:26
Last Modified: 27 Mar 2014 19:24
URI: http://eprints.soton.ac.uk/id/eprint/177345

Actions (login required)

View Item View Item