k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. - Benjamin Doerr; Carola Doerr; Jing Yang 016 (PPSN, 2016)

The (1+λ) evolutionary algorithm with self-adjusting mutation rate. - Benjamin Doerr; Christian Gießen; Carsten Witt; Jing Yang 016 (GECCO, 2017)

Designing Superior Evolutionary Algorithms via Insights From Black-Box Complexity Theory. (Conception de meilleurs algorithmes évolutionnaires grâce à la théorie de la complexité boîte noire). - Jing Yang 016 (2018)

The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate. - Benjamin Doerr; Christian Gießen; Carsten Witt; Jing Yang 016 (Algorithmica, 2019)

Optimal parameter choices via precise black-box analysis. - Benjamin Doerr; Carola Doerr; Jing Yang 016 (Theor. Comput. Sci., 2020)

Runtime Analysis for Self-adaptive Mutation Rates. - Benjamin Doerr; Carsten Witt; Jing Yang 016 (Algorithmica, 2021)