Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms

We propose a post-processing strategy which consists of applying the averaged Hausdorff indicator to the complete archive of solutions after optimization by multiobjective estimation of distribution algorithms (MEDAs) to select a uniformly distributed subset of non-dominated solutions.

• Publication year

  2015

• Venue

  Annual Conference on Genetic and Evolutionary Computation

• Publication date

  2015-03-26

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1145/2739482.2764631arXiv 1503.07845
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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