Analyzing the Impact of Undersampling on the Benchmarking and
Configuration of Evolutionary Algorithms

Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms

20 April 2022

Diederick Vermetten

Manuel López-Ibánez

Thomas Bäck

Papers citing "Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms"

5 / 5 papers shown

Title
Modular Differential Evolution Diederick Vermetten Fabio Caraffini Anna V. Kononova Thomas Bäck 16 16 0 19 Apr 2023
Automated Design of Metaheuristic Algorithms: A Survey Qi Zhao Qiqi Duan Bai Yan Shi Cheng Yuhui Shi 32 10 0 12 Mar 2023
To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features Diederick Vermetten Hao Wang Kevin Sim E. Hart 8 8 0 17 Feb 2023
A suite of diagnostic metrics for characterizing selection schemes Jose Guadalupe Hernandez Alexander Lalejini Charles Ofria 11 12 0 29 Apr 2022
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies D. Schroder Diederick Vermetten Hongya Wang Carola Doerr Thomas Bäck 24 1 0 13 Apr 2022