A new adaptive algorithm for convex quadratic multicriteria optimization
A new adaptive algorithm for convex quadratic multicriteria optimization
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.
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Heermann, Christoph
e62ed7a9-1aa7-4825-877d-abe69cc5f440
Weyers, Bernd
24915720-db3a-419f-8508-629988b2a6fe
April 2004
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Heermann, Christoph
e62ed7a9-1aa7-4825-877d-abe69cc5f440
Weyers, Bernd
24915720-db3a-419f-8508-629988b2a6fe
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 – Leibniz-Zentrum für Informatik.
39 pp
.
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Conference or Workshop Item
(Paper)
Abstract
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, Dagstuhl, Germany, 2004-11-07 - 2004-11-12
Organisations:
Operational Research
Identifiers
Local EPrints ID: 177345
URI: http://eprints.soton.ac.uk/id/eprint/177345
PURE UUID: eb1df96b-5a50-41f0-b422-94f22f926656
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Date deposited: 18 Mar 2011 08:26
Last modified: 23 Feb 2024 02:44
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Contributors
Author:
Christoph Heermann
Author:
Bernd Weyers
Editor:
J. Branke
Editor:
K. Deb
Editor:
K. Miettinen
Editor:
R.E. Steuer
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