We describe techniques for visualizing the Pareto optimal set that can be used if the multiobjective optimization problem considered has more than two objective functions. The techniques discussed can be applied in the framework of both MCDM and EMO approaches. First, lessons learned from methods developed for biobjective problems are considered. Then, visualization techniques for convex multiobjective optimization problems based on a polyhedral approximation of the Pareto optimal set are discussed. Finally, some visualization techniques are considered that use a pointwise approximation of the Pareto optimal set. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Lotov, A. V., & Miettinen, K. (2008). Visualizing the pareto frontier. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5252 LNCS, pp. 213–243). Springer Verlag. https://doi.org/10.1007/978-3-540-88908-3_9
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