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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.

Record type: Conference or Workshop Item (Paper)


We present a new adaptive algorithm for convex quadratic multicriteria optimization. The algorithm is able to adaptively refine the approximation to the set of efficient 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.

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Published date: April 2004
Venue - Dates: Practical Approaches to Multi-Objective Optimization, 2004-11-07 - 2004-11-12
Organisations: Operational Research


Local EPrints ID: 177345
PURE UUID: eb1df96b-5a50-41f0-b422-94f22f926656

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Date deposited: 18 Mar 2011 08:26
Last modified: 12 Jul 2017 16:33

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Author: Jörg Fliege
Author: Christoph Heermann
Author: Bernd Weyers
Editor: J. Branke
Editor: K. Deb
Editor: K. Miettinen
Editor: R.E. Steuer

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