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Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules

25 February 2021

Thomas Bäck

Papers citing "Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules"

29 / 29 papers shown

Title
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers Diederick Vermetten Catalin-Viorel Dinu Marcus Gallagher 61 0 0 14 May 2025
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics Niki van Stein Anna V. Kononova Haoran Yin Thomas Bäck 162 0 0 28 Apr 2025
METAFOR: A Hybrid Metaheuristics Software Framework for Single-Objective Continuous Optimization Problems Christian Camacho-Villalón Marco Dorigo Thomas Stützle 49 0 0 16 Feb 2025
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise Catalin-Viorel Dinu Yash J. Patel X. Bonet-Monroig Hao Wang 93 0 0 25 Sep 2024
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points Jacob De Nobel Diederick Vermetten Thomas Bäck Anna V. Kononova 39 1 0 24 Sep 2024
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification Fu Xing Long M. Frenzel Peter Krause M. Gitterle Thomas Bäck Niki van Stein 64 0 0 02 Sep 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics Niki van Stein Thomas Bäck 107 19 0 30 May 2024
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks Ana Nikolikj Ana Kostovska Diederick Vermetten Carola Doerr T. Eftimov 79 5 0 20 May 2024
Avoiding Redundant Restarts in Multimodal Global Optimization Jacob De Nobel Diederick Vermetten Anna V. Kononova O. M. Shir Thomas Bäck 44 0 0 02 May 2024
A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories Niki van Stein Sarah L. Thomson Anna V. Kononova 42 0 0 26 Apr 2024
Large-scale Benchmarking of Metaphor-based Optimization Heuristics Diederick Vermetten Carola Doerr Hao Wang Anna V. Kononova Thomas Bäck 63 5 0 15 Feb 2024
Explainable Benchmarking for Iterative Optimization Heuristics Niki van Stein Diederick Vermetten Anna V. Kononova Thomas Bäck 113 13 0 31 Jan 2024
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts Diederick Vermetten Furong Ye Thomas Bäck Carola Doerr 61 10 0 18 Dec 2023
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization Ana Kostovska Gjorgjina Cenikj Diederick Vermetten Anja Jankovic Ana Nikolikj Urban Škvorc Peter Korošec Carola Doerr T. Eftimov 75 2 0 14 Oct 2023
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 80 13 0 18 Jun 2023
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite Diederick Vermetten Manuel López-Ibánez Olaf Mersmann Richard Allmendinger Anna V. Kononova 98 6 0 24 May 2023
Modular Differential Evolution Diederick Vermetten Fabio Caraffini Anna V. Kononova Thomas Bäck 60 18 0 19 Apr 2023
Using Affine Combinations of BBOB Problems for Performance Assessment Diederick Vermetten Furong Ye Carola Doerr 72 11 0 08 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 55 8 0 17 Feb 2023
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms Ana Kostovska Diederick Vermetten Jannis Brugger P. Panov T. Eftimov Carola Doerr 48 8 0 24 Jan 2023
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms Diederick Vermetten Hongya Wang Manuel López-Ibánez Carola Doerr Thomas Bäck 72 8 0 20 Apr 2022
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants Ana Kostovska Diederick Vermetten Jannis Brugger Carola Doerr Peter Korošec T. Eftimov 52 9 0 15 Apr 2022
Trajectory-based Algorithm Selection with Warm-starting Anja Jankovic Diederick Vermetten Ana Kostovska Jacob De Nobel T. Eftimov Carola Doerr 95 10 0 13 Apr 2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction R. Trajanov Stefan Dimeski Martin Popovski Peter Korošec T. Eftimov 63 13 0 22 Mar 2022
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond Anna V. Kononova Diederick Vermetten Fabio Caraffini Madalina Mitran D. Zaharie 57 13 0 07 Mar 2022
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Julia Moosbauer Martin Binder Lennart Schneider Florian Pfisterer Marc Becker Michel Lang Lars Kotthoff Bernd Bischl 69 8 0 29 Nov 2021
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics Jacob De Nobel Furong Ye Diederick Vermetten Hao Wang Carola Doerr Thomas Bäck 80 44 0 07 Nov 2021
Explainable Landscape-Aware Optimization Performance Prediction R. Trajanov Stefan Dimeski Martin Popovski Peter Korošec T. Eftimov 71 16 0 22 Oct 2021
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics Hongya Wang Diederick Vermetten Furong Ye Carola Doerr Thomas Bäck 150 48 0 08 Jul 2020