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Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning

24 November 2017

Papers citing "Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning"

50 / 62 papers shown

Title
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong G. Petelin Gjorgjina Cenikj 139 0 0 12 May 2025
Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems Lennart Schäpermeier 101 0 0 15 Apr 2025
Online Meta-learning for AutoML in Real-time (OnMAR) Mia Gerber Anna Sergeevna Bosman J. D. Villiers OffRL 89 0 0 27 Feb 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan 298 5 0 01 Nov 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 52 0 0 02 Sep 2024
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization Konstantin Dietrich Raphael Patrick Prager Carola Doerr Heike Trautmann 61 0 0 10 Jul 2024
Identifying Easy Instances to Improve Efficiency of ML Pipelines for Algorithm-Selection Quentin Renau Emma Hart 87 1 0 24 Jun 2024
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks Ana Nikolikj Ana Kostovska Gjorgjina Cenikj Carola Doerr T. Eftimov 51 2 0 20 May 2024
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting Takushi Yoshikawa Ryoji Tanabe 44 0 0 13 May 2024
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
Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization Ryoji Tanabe 27 0 0 04 Apr 2024
Exploratory Landscape Analysis for Mixed-Variable Problems Raphael Patrick Prager Heike Trautmann 57 3 0 26 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
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes Mingyu Huang Ke Li 60 0 0 05 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 71 2 0 14 Oct 2023
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances Ana Nikolikj Savso Dvzeroski Mario Andrés Muñoz Carola Doerr Peter Korovsec T. Eftimov 64 6 0 01 Jun 2023
Assessing the Generalizability of a Performance Predictive Model Ana Nikolikj Gjorgjina Cenikj Gordana Ispirova Diederick Vermetten Ryan Dieter Lang A. Engelbrecht Carola Doerr Peter Korošec T. Eftimov 44 3 0 31 May 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction Ana Nikolikj Michal Pluhacek Carola Doerr Peter Korošec T. Eftimov 47 3 0 30 May 2023
Challenges of ELA-guided Function Evolution using Genetic Programming Fu Xing Long Diederick Vermetten Anna V. Kononova Roman Kalkreuth Kaifeng Yang Thomas Bäck Niki van Stein 49 6 0 24 May 2023
Computational and Exploratory Landscape Analysis of the GKLS Generator J. Kůdela M. Juricek 68 6 0 18 Apr 2023
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis Bas van Stein Fu Xing Long M. Frenzel Peter Krause M. Gitterle T.H.W. Bäck 50 19 0 31 Mar 2023
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games Vanessa Volz B. Naujoks P. Kerschke Tea Tušar 50 4 0 16 Feb 2023
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances F. Long Diederick Vermetten Bas van Stein Anna V. Kononova 72 21 0 29 Nov 2022
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis Lennart Schneider Lennart Schäpermeier Raphael Patrick Prager B. Bischl Heike Trautmann P. Kerschke 52 11 0 30 Jul 2022
Toward an ImageNet Library of Functions for Global Optimization Benchmarking Boris Yazmir O. M. Shir 20 0 0 27 Jun 2022
Incremental Recursive Ranking Grouping for Large Scale Global Optimization M. Komarnicki M. Przewozniczek H. Kwasnicka Krzysztof Walkowiak 20 12 0 08 Jun 2022
Benchmarking the Hooke-Jeeves Method, MTS-LS1, and BSrr on the Large-scale BBOB Function Set Ryoji Tanabe 15 0 0 28 Apr 2022
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies D. Schroder Diederick Vermetten Hongya Wang Carola Doerr Thomas Bäck 64 1 0 13 Apr 2022
Trajectory-based Algorithm Selection with Warm-starting Anja Jankovic Diederick Vermetten Ana Kostovska Jacob De Nobel T. Eftimov Carola Doerr 85 10 0 13 Apr 2022
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes M. Seiler Raphael Patrick Prager P. Kerschke Heike Trautmann 58 21 0 12 Apr 2022
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches M. Alissa Kevin Sim E. Hart 45 17 0 24 Mar 2022
Explainable Landscape Analysis in Automated Algorithm Performance Prediction R. Trajanov Stefan Dimeski Martin Popovski Peter Korošec T. Eftimov 57 13 0 22 Mar 2022
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems Hanan Alsouly M. Kirley Mario Andrés Muñoz 38 6 0 02 Mar 2022
Explainable Landscape-Aware Optimization Performance Prediction R. Trajanov Stefan Dimeski Martin Popovski Peter Korošec T. Eftimov 71 16 0 22 Oct 2021
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 50 15 0 17 Sep 2021
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics Ye Tian Xing-yi Zhang Cheng He Kay Chen Tan Yaochu Jin 48 22 0 22 May 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems T. Eftimov Anja Jankovic Gorjan Popovski Carola Doerr Peter Korošec 46 6 0 22 Apr 2021
Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework Ryoji Tanabe 44 2 0 21 Apr 2021
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection Anja Jankovic Gorjan Popovski T. Eftimov Carola Doerr 53 23 0 19 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic T. Eftimov Carola Doerr 82 26 0 10 Feb 2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions Quentin Renau Johann Dréo Carola Doerr Benjamin Doerr 57 33 0 01 Feb 2021
Instance Space Analysis for the Car Sequencing Problem Yuan Sun Samuel Esler D. Thiruvady Andreas T. Ernst Xiaodong Li K. Morgan 23 3 0 18 Dec 2020
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems Jan Strohschein A. Fischbach Andreas Bunte Heide Faeskorn-Woyke N. Moriz Thomas Bartz-Beielstein 38 3 0 03 Dec 2020
Neural Network Design: Learning from Neural Architecture Search Bas van Stein Hongya Wang Thomas Bäck 34 10 0 01 Nov 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes T. Eftimov Gorjan Popovski Quentin Renau Peter Korošec Carola Doerr 48 12 0 30 Sep 2020
Benchmarking in Optimization: Best Practice and Open Issues Thomas Bartz-Beielstein Carola Doerr Daan van den Berg Jakob Bossek Sowmya Chandrasekaran ... B. Naujoks Patryk Orzechowski Vanessa Volz Markus Wagner T. Weise 138 112 0 07 Jul 2020
Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges Ramses Sala Ralf Müller 82 14 0 01 Jul 2020
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem M. Seiler J. Pohl Jakob Bossek P. Kerschke Heike Trautmann 33 21 0 29 Jun 2020
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy Quentin Renau Carola Doerr Johann Dréo Benjamin Doerr 118 60 0 19 Jun 2020