Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization

This paper proposes an idea of approximating the hypervolume of a non-dominated solution set using a number of achievement scalarizing functions with uniformly distributed weight vectors. Each achievement scalarizing function with a different weight vector is used to measure the distance from the re...

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Bibliographische Detailangaben

Hauptverfasser:	Ishibuchi, H., Tsukamoto, N., Sakane, Y., Nojima, Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Optimization methods
Online-Zugang:	Volltext bestellen
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