- Dogan Corus, Pietro S. Oliveto, Donya Yazdani, “Artificial immune systems can find arbitrarily good approximations for the NP-hard number partitioning problem”, Artificial Intelligence, 274, 2019, 180
- Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker, “Simple Hyper-Heuristics Control the Neighbourhood Size of Randomised Local Search Optimally for LeadingOnes”, Evolutionary Computation, 28, № 3, 2020, 437
- Zi-An Zhang, Chao Bian, Chao Qian, 13399, Parallel Problem Solving from Nature – PPSN XVII, 2022, 512
- Jamal Toutouh, Erik Hemberg, Una-May O’Reilly, Handbook of Evolutionary Machine Learning, 2024, 397
- Wenbo Jiang, Hongwei Li, Guowen Xu, Tianwei Zhang, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 8133
- Mario Alejandro Hevia Fajardo, Dirk Sudholt, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020, 832
- Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao, “An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization”, IEEE Trans. Evol. Computat., 24, № 2, 2020, 275
- Denis Antipov, Benjamin Doerr, “A Tight Runtime Analysis for the ${(\mu + \lambda )}$ EA”, Algorithmica, 83, № 4, 2021, 1054
- Egor Kurbatov, Vladimir Mironovich, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, 61
- Benjamin Doerr, Timo Kötzing, “Lower Bounds from Fitness Levels Made Easy”, Algorithmica, 86, № 2, 2024, 367