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Math. Comput. Appl. 2018, 23(3), 51;

A (p,q)-Averaged Hausdorff Distance for Arbitrary Measurable Sets

Department of Mathematics, Pontificia Universidad Javeriana, 110231 Bogotá, Colombia
Computer Science Department, Cinvestav-IPN, 07360 Mexico City, Mexico
Author to whom correspondence should be addressed.
Received: 22 July 2018 / Revised: 8 September 2018 / Accepted: 16 September 2018 / Published: 18 September 2018
(This article belongs to the Special Issue Numerical and Evolutionary Optimization)
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The Hausdorff distance is a widely used tool to measure the distance between different sets. For the approximation of certain objects via stochastic search algorithms this distance is, however, of limited use as it punishes single outliers. As a remedy in the context of evolutionary multi-objective optimization (EMO), the averaged Hausdorff distance Δ p has been proposed that is better suited as an indicator for the performance assessment of EMO algorithms since such methods tend to generate outliers. Later on, the two-parameter indicator Δ p , q has been proposed for finite sets as an extension to Δ p which also averages distances, but which yields some desired metric properties. In this paper, we extend Δ p , q to a continuous function between general bounded subsets of finite measure inside a metric measure space. In particular, this extension applies to bounded subsets of R k endowed with the Euclidean metric, which is the natural context for EMO applications. We show that our extension preserves the nice metric properties of the finite case, and finally provide some useful numerical examples that arise in EMO. View Full-Text
Keywords: averaged Hausdorff distance; evolutionary multi-objective optimization; power means; metric measure spaces; performance indicator; Pareto front averaged Hausdorff distance; evolutionary multi-objective optimization; power means; metric measure spaces; performance indicator; Pareto front

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Bogoya, J.M.; Vargas, A.; Cuate, O.; Schütze, O. A (p,q)-Averaged Hausdorff Distance for Arbitrary Measurable Sets. Math. Comput. Appl. 2018, 23, 51.

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