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Computing Star Discrepancies with Numerical Black-Box Optimization
  Algorithms

Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms

29 June 2023
François Clément
Diederick Vermetten
Jacob De Nobel
Alexandre D. Jesus
L. Paquete
Carola Doerr
ArXiv (abs)PDFHTML

Papers citing "Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms"

3 / 3 papers shown
Title
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
Jacob De Nobel
Diederick Vermetten
Thomas Bäck
Anna V. Kononova
27
1
0
24 Sep 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
101
7
0
23 May 2024
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
Diederick Vermetten
Johannes Lengler
Dimitri Rusin
Thomas Bäck
Carola Doerr
61
1
0
24 Apr 2024
1