Molz, Daniel, Heermann, Christoph and Fliege, Jörg
An adaptive primal-dual warm-start technique for quadratic multiobjective optimization.
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We present a new primal-dual 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. Results of this algorithm when applied on
a 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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