Using Block Norms in Bicriteria Optimization

We propose to use block norms to generate nondominated solutions of multiple criteria programs and introduce the new concept of the oblique norm that is specially tailored to handle general problems. We show the applicability of oblique norms to deal with discrete or convex bicriteria programs and also discuss implications of using block norms in multiple criteria decision making.

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