A Survey of Methods for Automated Algorithm Configuration

3 February 2022

Eyke Hüllermeier

Papers citing "A Survey of Methods for Automated Algorithm Configuration"

27 / 27 papers shown

Title
On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+( $λ$ , $λ$ ))-GA Tai Nguyen Phong Le André Biendenkapp Carola Doerr Nguyen Dang 37 0 0 27 Feb 2025
Online Meta-learning for AutoML in Real-time (OnMAR) Mia Gerber Anna Sergeevna Bosman J. D. Villiers OffRL 38 0 0 27 Feb 2025
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin N. V. Stein Carola Doerr T. Eftimov 46 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 32 5 0 06 May 2024
Learning from Offline and Online Experiences: A Hybrid Adaptive Operator Selection Framework Jiyuan Pei Jialin Liu Yi Mei 21 2 0 16 Apr 2024
Regularization in Spider-Style Strategy Discovery and Schedule Construction Filip Bártek Karel Chvalovský Martin Suda 26 5 0 19 Mar 2024
Explainable Benchmarking for Iterative Optimization Heuristics N. V. Stein Diederick Vermetten Anna V. Kononova Thomas Bäck 16 12 0 31 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process Zhenan Fan Bissan Ghaddar Xinglu Wang Linzi Xing Yong Zhang Zirui Zhou AI4CE 45 11 0 06 Jan 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 13 6 0 02 Jan 2024
Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize Ilias Mitrai P. Daoutidis AI4CE 24 5 0 10 Oct 2023
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams R. Patel Elias Boutros Khalil 24 0 0 06 Jul 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 28 23 0 13 Jun 2023
Hyperparameters in Reinforcement Learning and How To Tune Them Theresa Eimer Marius Lindauer Roberta Raileanu OffRL 27 34 0 02 Jun 2023
Discovering Multiple Algorithm Configurations L. Keselman M. Hebert 14 1 0 13 Mar 2023
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design Qi Zhao Bai Yan Taiwei Hu Xianglong Chen Qiqi Duan Jian Yang Yuhui Shi 18 1 0 12 Mar 2023
Automated Design of Metaheuristic Algorithms: A Survey Qi Zhao Qiqi Duan Bai Yan Shi Cheng Yuhui Shi 34 10 0 12 Mar 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 26 5 0 12 Dec 2022
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration Jasmin Brandt Elias Schede Viktor Bengs Björn Haddenhorst Eyke Hüllermeier Kevin Tierney 10 5 0 01 Dec 2022
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning Mattia Silvestri A. D. Filippo M. Lombardi M. Milano 11 0 0 25 Oct 2022
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration R. Trajanov Ana Nikolikj Gjorgjina Cenikj F. Teytaud Mathurin Videau O. Teytaud T. Eftimov Manuel López-Ibánez Carola Doerr 23 3 0 09 Sep 2022
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget Jasmin Brandt Viktor Bengs Björn Haddenhorst Eyke Hüllermeier 16 6 0 09 Feb 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 326 0 20 Sep 2021
Machine Learning for Online Algorithm Selection under Censored Feedback Alexander Tornede Viktor Bengs Eyke Hüllermeier 26 3 0 13 Sep 2021
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning Eyke Hüllermeier F. Mohr Alexander Tornede Marcel Wever LRM 27 3 0 10 Sep 2021
Evolving Evolutionary Algorithms using Linear Genetic Programming Mihai Oltean 53 135 0 21 Aug 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
Multi-Armed Bandits with Censored Consumption of Resources Viktor Bengs Eyke Hüllermeier 26 2 0 02 Nov 2020