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Algorithm Instance Footprint: Separating Easily Solvable and Challenging
  Problem Instances

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances

1 June 2023
Ana Nikolikj
Savso Dvzeroski
Mario Andrés Muñoz
Carola Doerr
Peter Korovsec
T. Eftimov
ArXiv (abs)PDFHTML

Papers citing "Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances"

2 / 2 papers shown
Title
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
77
1
0
08 Jun 2024
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
Konstantin Dietrich
Diederick Vermetten
Carola Doerr
P. Kerschke
82
2
0
11 Apr 2024
1