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"

14 / 14 papers shown

Title
The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong G. Petelin Gjorgjina Cenikj 34 0 0 12 May 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 119 2 0 01 Nov 2024
Explainable Benchmarking for Iterative Optimization Heuristics Niki van Stein Diederick Vermetten Anna V. Kononova Thomas Bäck 23 12 0 31 Jan 2024
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes Mingyu Huang Ke Li 31 0 0 05 Dec 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 22 6 0 24 May 2023
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances F. Long Diederick Vermetten Bas van Stein Anna V. Kononova 16 19 0 29 Nov 2022
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies D. Schroder Diederick Vermetten Hongya Wang Carola Doerr Thomas Bäck 37 1 0 13 Apr 2022
The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection Anja Jankovic Gorjan Popovski T. Eftimov Carola Doerr 15 23 0 19 Apr 2021
Towards Feature-Based Performance Regression Using Trajectory Data Anja Jankovic T. Eftimov Carola Doerr 28 26 0 10 Feb 2021
Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants Anja Jankovic Carola Doerr 22 38 0 17 Jun 2020
Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case Diederick Vermetten Hongya Wang Carola Doerr Thomas Bäck 22 15 0 11 Jun 2020
Towards Feature-free TSP Solver Selection: A Deep Learning Approach Kangfei Zhao Shengcai Liu Yu Rong Jianwei Yu 10 2 0 01 Jun 2020
Initial Design Strategies and their Effects on Sequential Model-Based Optimization Jakob Bossek Carola Doerr P. Kerschke 27 26 0 30 Mar 2020
Instruction-Level Design of Local Optimisers using Push GP M. Lones 6 11 0 24 May 2019