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


Feb 26, 2021
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas B盲ck


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Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms


Feb 23, 2021
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr

* 8 pages, 4 figures. Submitted to IEEE Congress on Evolutionary Computation 2021 

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Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection


Feb 12, 2021
Furong Ye, Carola Doerr, Thomas B盲ck

* Submitted for review to GECCO'21 

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Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks


Feb 12, 2021
Amine Aziz-Alaoui, Carola Doerr, Johann Dreo


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Towards Feature-Based Performance Regression Using Trajectory Data


Feb 10, 2021
Anja Jankovic, Tome Eftimov, Carola Doerr

* To appear in the Proceedings of EvoAPP 2021 

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Optimal Static Mutation Strength Distributions for the $(1+位)$ Evolutionary Algorithm on OneMax


Feb 09, 2021
Maxim Buzdalov, Carola Doerr

* Submitted for review to GECCO'21 

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Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions


Feb 01, 2021
Quentin Renau, Johann Dreo, Carola Doerr, Benjamin Doerr

* To appear in the proceedings of the 24th International Conference, EvoApplications 2021 Data used in this paper is available at https://doi.org/10.5281/zenodo.4449934 

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Squirrel: A Switching Hyperparameter Optimizer


Dec 16, 2020
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre' Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter


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Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking


Oct 12, 2020
Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong, Baptiste Roziere, Jeremy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr


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Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes


Sep 30, 2020
Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr

* To appear in Proc. of 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020) 

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IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic


Jul 08, 2020
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas B盲ck


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Benchmarking in Optimization: Best Practice and Open Issues


Jul 07, 2020
Thomas Bartz-Beielstein, Carola Doerr, Jakob Bossek, Sowmya Chandrasekaran, Tome Eftimov, Andreas Fischbach, Pascal Kerschke, Manuel Lopez-Ibanez, Katherine M. Malan, Jason H. Moore, Boris Naujoks, Patryk Orzechowski, Vanessa Volz, Markus Wagner, Thomas Weise


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High Dimensional Bayesian Optimization Assisted by Principal Component Analysis


Jul 02, 2020
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr

* 11 pages, 5 figures, conference paper accepted at PPSN2020 

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Optimal Mutation Rates for the $(1+位)$ EA on OneMax


Jun 20, 2020
Maxim Buzdalov, Carola Doerr

* This is an extended version of the paper accepted to the PPSN 2020 conference 

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Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy


Jun 19, 2020
Quentin Renau, Carola Doerr, Johann Dreo, Benjamin Doerr

* To appear in the proceedings of the 16th International Conference on Parallel Problem Solving from Nature (PPSN 2020) 

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Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm


Jun 19, 2020
Arina Buzdalova, Carola Doerr, Anna Rodionova

* To appear in the Proceedings of Parallel Problem Solving from Nature (PPSN'2020) 

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Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants


Jun 17, 2020
Anja Jankovic, Carola Doerr

* To appear in Proc. of Genetic and Evolutionary Computation Conference (GECCO'20) 

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Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case


Jun 11, 2020
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas B盲ck


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Benchmarking a $(渭+位)$ Genetic Algorithm with Configurable Crossover Probability


Jun 10, 2020
Furong Ye, Hao Wang, Carola Doerr, Thomas B盲ck


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MATE: A Model-based Algorithm Tuning Engine


Apr 27, 2020
Mohamed El Yafrani, Marcella Scoczynski Ribeiro Martins, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen

* 14 pages. Submitted to PPSN2020 

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Variance Reduction for Better Sampling in Continuous Domains


Apr 24, 2020
Laurent Meunier, Carola Doerr, Jeremy Rapin, Olivier Teytaud


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Fixed-Target Runtime Analysis


Apr 20, 2020
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov

* This is a slightly extended version of the paper accepted to GECCO 2020 

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Initial Design Strategies and their Effects on Sequential Model-Based Optimization


Mar 30, 2020
Jakob Bossek, Carola Doerr, Pascal Kerschke

* To appear in Proc. of ACM Genetic and Evolutionary Computation Conference (GECCO'20) 

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Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES


Jan 06, 2020
Diederick Vermetten, Hao Wang, Carola Doerr, Thomas B盲ck


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One-Shot Decision-Making with and without Surrogates


Dec 20, 2019
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr


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Benchmarking Discrete Optimization Heuristics with IOHprofiler


Dec 19, 2019
Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas B盲ck


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One-Sh ot Decision-Making with and without Surrogates


Dec 19, 2019
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr


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Optimization of Chance-Constrained Submodular Functions


Nov 26, 2019
Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton

* Accepted for oral presentation at AAAI 2020 

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Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates


Apr 18, 2019
Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr

* To appear at Genetic and Evolutionary Computation Conference (GECCO'19). v2: minor language revision 

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