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An adaptive primal-dual warm-start technique for quadratic multiobjective optimization

Record type: Article

We present a new primal-dual 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. Results of this algorithm when applied ona three-criteria real-world power plant optimization problem are reported, thereby illustrating the feasibility of this approach when used in practice.

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Citation

Molz, Daniel, Heermann, Christoph and Fliege, Jörg (2006) An adaptive primal-dual warm-start technique for quadratic multiobjective optimization Optimization Online

More information

Submitted date: 23 September 2006
Organisations: Operational Research

Identifiers

Local EPrints ID: 54539
URI: http://eprints.soton.ac.uk/id/eprint/54539
PURE UUID: 366ba916-f28c-40e4-b7cb-2636ca235483

Catalogue record

Date deposited: 28 Jul 2008
Last modified: 12 Jul 2017 16:31

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Contributors

Author: Daniel Molz
Author: Christoph Heermann
Author: Jörg Fliege

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