Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
436450 | Theoretical Computer Science | 2013 | 11 Pages |
Abstract
In this article we describe three formulations of a multiobjective combinatorial optimization problem, as well as several complexity results and structural properties of these formulations. A multiobjective dynamic programming algorithm is proposed for each of the three formulations. Based on our theoretical and computational results we argue that a clever definition of the recursion, allowing for strong dominance criteria, is crucial in the design of a multiobjective dynamic programming algorithm.
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