An Adaptive Primal-Dual Warm-Start Technique for Quadratic Multiobjective Optimization

Daniel Molz (fliegejbham.ac.uk)
Christoph Heermann (fliegejbham.ac.uk)
Joerg Fliege (fliegejbham.ac.uk)

Abstract: 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 on a three-criteria real-world power plant optimization problem are reported, thereby illustrating the feasibility of this approach when used in practice.

Keywords: warm-start, interior-point method, multicriteria optimization, multiobjective optimization

Category 1: Other Topics (Multi-Criteria Optimization )

Category 2: Nonlinear Optimization (Quadratic Programming )

Category 3: Applications -- Science and Engineering (Control Applications )

Citation: Preprint 2006/34, School of Mathematics, The University of Birmingham, Edbagston, Birmingham B15 2TT, UK.

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Entry Submitted: 09/23/2006
Entry Accepted: 10/01/2006
Entry Last Modified: 09/23/2006

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