Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy

19 June 2020

Papers citing "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy"

30 / 30 papers shown

Title
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Hongshu Guo Zeyuan Ma Yining Ma Xinglin Zhang Wei-Neng Chen Yue-Jiao Gong 206 0 0 23 May 2025
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Xu Yang Rui Wang Kaiwen Li Ling Wang 105 0 0 22 Jan 2025
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
Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling Jakob Träuble Anna Sergeevna Bosman Gabriele Kaminski Schierle 63 0 0 01 Aug 2024
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
Automated Metaheuristic Algorithm Design with Autoregressive Learning Qi Zhao Tengfei Liu Bai Yan Qiqi Duan Jian Yang Yuhui Shi TPM 75 7 0 06 May 2024
Impact of spatial transformations on landscape features of CEC2022 basic benchmark problems Haoran Yin Diederick Vermetten Furong Ye Thomas H. W. Bäck Anna V. Kononova 78 1 0 12 Feb 2024
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems M. Seiler P. Kerschke Heike Trautmann 60 7 0 02 Jan 2024
TransOpt: Transformer-based Representation Learning for Optimization Problem Classification Gjorgjina Cenikj Gavsper Petelin T. Eftimov 12 7 0 29 Nov 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 73 2 0 14 Oct 2023
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems Gjorgjina Cenikj G. Petelin Carola Doerr Peter Korošec T. Eftimov 84 11 0 08 Jun 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
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms Ana Kostovska Diederick Vermetten Jannis Brugger P. Panov T. Eftimov Carola Doerr 38 8 0 24 Jan 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
OPTION: OPTImization Algorithm Benchmarking ONtology Ana Kostovska Diederick Vermetten Carola Doerr Jannis Brugger P. Panov T. Eftimov 81 11 0 21 Nov 2022
Automated Algorithm Selection for Radar Network Configuration Quentin Renau Johann Dréo A. Peres Y. Semet Carola Doerr Benjamin Doerr 51 4 0 07 May 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 87 10 0 13 Apr 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
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context Z. Pitra J. Koza Jirí Tumpach M. Holeňa 110 2 0 11 Feb 2022
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization Ryoji Tanabe 52 15 0 17 Sep 2021
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis Thomas Bartz-Beielstein Marcel Dröscher Alpar Gür Alexander Hinterleitner Olaf Mersmann ... Nicolas Rehbach Frederik Rehbach Amrita Sen A. Subbotin Martin Zaefferer 128 4 0 16 May 2021
Personalizing Performance Regression Models to Black-Box Optimization Problems T. Eftimov Anja Jankovic Gorjan Popovski Carola Doerr Peter Korošec 48 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
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 60 33 0 01 Feb 2021
Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems Jan Strohschein A. Fischbach Andreas Bunte Heide Faeskorn-Woyke N. Moriz Thomas Bartz-Beielstein 41 3 0 03 Dec 2020
Neural Network Design: Learning from Neural Architecture Search Bas van Stein Hongya Wang Thomas Bäck 37 10 0 01 Nov 2020
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes T. Eftimov Gorjan Popovski Quentin Renau Peter Korošec Carola Doerr 51 12 0 30 Sep 2020