Article ID Journal Published Year Pages File Type
436450 Theoretical Computer Science 2013 11 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics