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Nonscalarized multiobjective global optimization
Authors:E A Galperin
Institution:(1) Départment de Mathématiques et d'Informatique, Université du Québec à Montréal, Montréal, Québec, Canada
Abstract:A new approach to multiobjective optimization is presented which is made possible due to our ability to obtain full global optimal solutions. A distinctive feature of this approach is that a vector cost function is nonscalarized. The method provides a means for the solution of vector optimization problems with nonreconcilable objectives.This work was supported by the Natural Sciences and Engineering Research Council of Canada, Grant No. A3492.
Keywords:Vector optimization  nonscalarized multiobjective programming
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