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Abstract: Based on theoretical results on the applicability of specially structured block norms to multicriteria programs, an algorithm to find a piecewise linear approximation of the nondominated set of convex multicriteria programs is proposed. By automatically adapting to the problem's structure and scaling, the approximation is constructed objectively without interaction with the decision maker. Moreover, all generated extreme points of the approximation are nondominated. (Update)
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BibTeX entry: (Update)
@misc{ schandl-normbased,
author = "Bernd Schandl and Kathrin Klamroth and Margaret M. Wiecek",
title = "Norm-Based Approximation in Convex Multicriteria Programming",
url = "citeseer.ist.psu.edu/419643.html" }
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