Reproducibility in Evolutionary Computation

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Reproducibility in Evolutionary Computation

5 February 2021

Manuel López-Ibánez

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Papers citing "Reproducibility in Evolutionary Computation"

19 / 19 papers shown

Title
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers Diederick Vermetten Catalin-Viorel Dinu Marcus Gallagher 55 0 0 14 May 2025
BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics Niki van Stein Anna V. Kononova Haoran Yin Thomas Bäck 162 0 0 28 Apr 2025
AlgOS: Algorithm Operating System Llewyn Salt Marcus Gallagher VLM 154 0 0 07 Apr 2025
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach Camilo Chacón Sartori Christian Blum Filippo Bistaffa Guillem Rodríguez Corominas AIFin 143 4 0 28 May 2024
Large-scale Benchmarking of Metaphor-based Optimization Heuristics Diederick Vermetten Carola Doerr Hao Wang Anna V. Kononova Thomas Bäck 63 5 0 15 Feb 2024
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization Qiqi Duan Chang Shao Guochen Zhou Minghan Zhang Qi Zhao Yuhui Shi 80 0 0 09 Oct 2023
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym Elena Raponi Nathanaël Carraz Rakotonirina Jérémy Rapin Carola Doerr O. Teytaud 106 6 0 29 Sep 2023
Improving Time and Memory Efficiency of Genetic Algorithms by Storing Populations as Minimum Spanning Trees of Patches M. Buzdalov 55 1 0 29 Jun 2023
Modular Differential Evolution Diederick Vermetten Fabio Caraffini Anna V. Kononova Thomas Bäck 54 18 0 19 Apr 2023
Using Affine Combinations of BBOB Problems for Performance Assessment Diederick Vermetten Furong Ye Carola Doerr 68 11 0 08 Mar 2023
Using Automated Algorithm Configuration for Parameter Control D. Chen M. Buzdalov Carola Doerr Nguyen Dang 92 4 0 23 Feb 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
OPTION: OPTImization Algorithm Benchmarking ONtology Ana Kostovska Diederick Vermetten Carola Doerr Jannis Brugger P. Panov T. Eftimov 81 11 0 21 Nov 2022
A suite of diagnostic metrics for characterizing selection schemes Jose Guadalupe Hernandez Alexander Lalejini Charles Ofria 55 12 0 29 Apr 2022
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms Diederick Vermetten Hongya Wang Manuel López-Ibánez Carola Doerr Thomas Bäck 72 8 0 20 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 87 10 0 13 Apr 2022
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond Anna V. Kononova Diederick Vermetten Fabio Caraffini Madalina Mitran D. Zaharie 47 13 0 07 Mar 2022
Reliable validation of Reinforcement Learning Benchmarks Matthias Muller-Brockhausen Aske Plaat Mike Preuss OffRL 43 1 0 02 Mar 2022