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 Branke, J., Deb, K., Miettinen, K. and Steuer, R.E. (eds.) In Practical Approaches to Multi-Objective Optimization. Schloss Dagstuhl. 39 pp.

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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: Conference or Workshop Item (Paper)
Venue - Dates: Practical Approaches to Multi-Objective Optimization, 2004-11-07 - 2004-11-12
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Subjects: Q Science > QA Mathematics
Organisations: Operational Research
ePrint ID: 177345
Date :
Date Event
April 2004Published
Date Deposited: 18 Mar 2011 08:26
Last Modified: 18 Apr 2017 02:40
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/177345

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