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A New Approach to a Multicriteria Optimization Problem

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Abstract

We present a new approach to a multicriteria optimization problem, where the objective and the constraints are linear functions. From an equivalent equilibrium problem, first suggested in [5,6,8], we show new characterizations of weakly efficient points based on the partial order induced by a nonempty closed convex cone in a finite-dimensional linear space, as in [7]. Thus, we are able to apply the analytic center cutting plane algorithm that finds equilibrium points approximately, by Raupp and Sosa [10], in order to find approximate weakly efficient solutions of MOP.

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Sosa, W., Raupp, F.M. A New Approach to a Multicriteria Optimization Problem. Numerical Algorithms 35, 233–247 (2004). https://doi.org/10.1023/B:NUMA.0000021770.77789.b7

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  • DOI: https://doi.org/10.1023/B:NUMA.0000021770.77789.b7

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