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Impact of Training Instance Selection on Automated Algorithm Selection
  Models for Numerical Black-box Optimization

Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization

11 April 2024
Konstantin Dietrich
Diederick Vermetten
Carola Doerr
P. Kerschke
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Papers citing "Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization"

2 / 2 papers shown
Title
Using the Empirical Attainment Function for Analyzing Single-objective
  Black-box Optimization Algorithms
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms
Manuel López-Ibánez
Diederick Vermetten
Johann Dréo
Carola Doerr
36
9
0
02 Apr 2024
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating
  AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Diederick Vermetten
Furong Ye
Thomas Bäck
Carola Doerr
34
11
0
18 Jun 2023
1