- Denis Antipov, Semen Naumov, Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2021, 1
- Benjamin Doerr, Timo Kötzing, Proceedings of the Genetic and Evolutionary Computation Conference, 2019, 1470
- Per Kristian Lehre, Proceedings of the Genetic and Evolutionary Computation Conference, 2022, 1408
- Shu-Chuan Chu, Zhi-Gang Du, Jeng-Shyang Pan, 833, Genetic and Evolutionary Computing, 2022, 419
- Kaiguang Wang, Min Guo, Cai Dai, Zhiqiang Li, “Information-decision searching algorithm: Theory and applications for solving engineering optimization problems”, Information Sciences, 607, 2022, 1465
- Denis Antipov, Benjamin Doerr, Quentin Yang, Proceedings of the Genetic and Evolutionary Computation Conference, 2019, 1461
- Anton V. Eremeev, 12095, Mathematical Optimization Theory and Operations Research, 2020, 329
- Benjamin Doerr, Martin S. Krejca, “The Univariate Marginal Distribution Algorithm Copes Well with
Deception and Epistasis”, Evolutionary Computation, 29, no. 4, 2021, 543
- Benjamin Doerr, Timo Kötzing, Proceedings of the Genetic and Evolutionary Computation Conference, 2021, 1142
- Dogan Corus, Pietro S. Oliveto, “On the Benefits of Populations for the Exploitation Speed of Standard Steady-State Genetic Algorithms”, Algorithmica, 82, no. 12, 2020, 3676