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PAINT: Pareto front interpolation for nonlinear multiobjective optimization
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
University of Jyväskylä, Finland.
Clemson University.
2012 (English)In: Computational optimization and applications, ISSN 0926-6003, E-ISSN 1573-2894, Vol. 52, no 3, 845-867 p.Article in journal (Refereed) Published
Abstract [en]

A method called PAINT is introduced for computationally expensive multiobjective optimization problems. The method interpolates between a given set of Pareto optimal outcomes. The interpolation provided by the PAINT method implies a mixed integer linear surrogate problem for the original problem which can be optimized with any interactive method to make decisions concerning the original problem. When the scalarizations of the interactive method used do not introduce nonlinearity to the problem (which is true e.g., for the synchronous NIMBUS method), the scalarizations of the surrogate problem can be optimized with available mixed integer linear solvers. Thus, the use of the interactive method is fast with the surrogate problem even though the problem is computationally expensive. Numerical examples of applying the PAINT method for interpolation are included.

Place, publisher, year, edition, pages
Springer, 2012. Vol. 52, no 3, 845-867 p.
Keyword [en]
Multiobjective optimization, Interactive decision making, Computationally expensive problems, Approximation
National Category
URN: urn:nbn:se:kth:diva-65275DOI: 10.1007/s10589-011-9441-zISI: 000306836900012OAI: diva2:483348

QC 20130214

Available from: 2012-04-23 Created: 2012-01-25 Last updated: 2013-02-14Bibliographically approved

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