Improving the Efficiency of the Distance-Based Hypervolume Estimation Using ND-Tree

Hypervolume is most likely the most often used quality indicator in evolutionary multiobjective optimization (EMO) due to its monotonicity with respect to the dominance relation. Since, however, exact calculation of hypervolume is computationally demanding, many researchers have proposed methods for...

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Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 29; H. 3; S. 726 - 733
Hauptverfasser:	Jaszkiewicz, Andrzej, Zielniewicz, Piotr
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2025
Schlagworte:	Algorithms and data structures Chebycheff functions Data structures Estimation Evolutionary computation hypervolume hypervolume estimation multiobjective optimization Optimization Search problems Vectors
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
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